Udemy - Artificial Intelligence A-Z 2025 Agentic AI, Gen AI, and RL (3.2025)

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文件数目： 250个文件
文件大小： 3.78 GB
收录时间： 2025-6-3 11:53
访问次数： 88
相关内容： Udemy - Artificial Intelligence A-Z 2025 Agentic AI Gen AI and RL 3 2025
文件列表
  • 01. Welcome to the course!/2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.mp4
    9.47 MB
  • 01. Welcome to the course!/2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.vtt
    8.72 KB
  • 01. Welcome to the course!/3. Prizes $$ for Learning.html
    383 B
  • 01. Welcome to the course!/1. Get the Course Materials!.html
    368 B
  • 02. Agentic AI/1. Build a Cloud-powered AI Agent for Business Assistance, completely from scratch!.html
    1.57 KB
  • 03. ---------- Part 0 - Fundamentals Of Reinforcement Learning ----------/1. Welcome to Part 0 - Fundamentals of Reinforcement Learning.html
    1.27 KB
  • 04. Q-Learning Intuition/2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.mp4
    55.16 MB
  • 04. Q-Learning Intuition/7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.mp4
    50.13 MB
  • 04. Q-Learning Intuition/3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.mp4
    42.74 MB
  • 04. Q-Learning Intuition/9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.mp4
    36.57 MB
  • 04. Q-Learning Intuition/5. Markov Decision Processes in Reinforcement Learning A Complete Guide.mp4
    35.28 MB
  • 04. Q-Learning Intuition/8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.mp4
    29.31 MB
  • 04. Q-Learning Intuition/6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.mp4
    26.97 MB
  • 04. Q-Learning Intuition/4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.mp4
    8.21 MB
  • 04. Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4
    3.41 MB
  • 04. Q-Learning Intuition/3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.vtt
    31.48 KB
  • 04. Q-Learning Intuition/9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.vtt
    30.13 KB
  • 04. Q-Learning Intuition/5. Markov Decision Processes in Reinforcement Learning A Complete Guide.vtt
    27.73 KB
  • 04. Q-Learning Intuition/8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.vtt
    23.17 KB
  • 04. Q-Learning Intuition/6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.vtt
    22.45 KB
  • 04. Q-Learning Intuition/10.1 Quiz 1.html
    20.04 KB
  • 04. Q-Learning Intuition/2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.vtt
    20.01 KB
  • 04. Q-Learning Intuition/7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.vtt
    14.7 KB
  • 04. Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt
    6.01 KB
  • 04. Q-Learning Intuition/4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.vtt
    3.81 KB
  • 05. Q-Learning Implementation/1. A Q-Learning Implementation for Process Optimization.html
    1.43 KB
  • 05. Q-Learning Implementation/1. A-Q-Learning-Implementation-for-Process-Optimization.txt
    38 B
  • 06. ---------- Part 1 - Deep Q-Learning ----------/1. Welcome to Part 1 - Deep Q-Learning.html
    1.11 KB
  • 07. Deep Q-Learning Intuition/5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.mp4
    54.38 MB
  • 07. Deep Q-Learning Intuition/4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.mp4
    38.19 MB
  • 07. Deep Q-Learning Intuition/2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.mp4
    34.48 MB
  • 07. Deep Q-Learning Intuition/3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.mp4
    14.63 MB
  • 07. Deep Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4
    3.56 MB
  • 07. Deep Q-Learning Intuition/5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.vtt
    25.83 KB
  • 07. Deep Q-Learning Intuition/4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.vtt
    25.13 KB
  • 07. Deep Q-Learning Intuition/2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.vtt
    23.66 KB
  • 07. Deep Q-Learning Intuition/3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.vtt
    10.49 KB
  • 07. Deep Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt
    4.66 KB
  • 08. Deep Q-Learning Implementation/20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.mp4
    146.69 MB
  • 08. Deep Q-Learning Implementation/13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.mp4
    52.02 MB
  • 08. Deep Q-Learning Implementation/19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.mp4
    50.07 MB
  • 08. Deep Q-Learning Implementation/14. Step 12 DQN Action Selection - State Processing to Policy Implementation.mp4
    48.07 MB
  • 08. Deep Q-Learning Implementation/16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.mp4
    47.32 MB
  • 08. Deep Q-Learning Implementation/4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.mp4
    45.65 MB
  • 08. Deep Q-Learning Implementation/12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.mp4
    44.19 MB
  • 08. Deep Q-Learning Implementation/15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.mp4
    29.94 MB
  • 08. Deep Q-Learning Implementation/11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.mp4
    29.34 MB
  • 08. Deep Q-Learning Implementation/21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.mp4
    27.63 MB
  • 08. Deep Q-Learning Implementation/3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.mp4
    26.03 MB
  • 08. Deep Q-Learning Implementation/5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.mp4
    24.63 MB
  • 08. Deep Q-Learning Implementation/7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.mp4
    16.77 MB
  • 08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.mp4
    13.49 MB
  • 08. Deep Q-Learning Implementation/17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.mp4
    13.12 MB
  • 08. Deep Q-Learning Implementation/6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.mp4
    12.42 MB
  • 08. Deep Q-Learning Implementation/22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.mp4
    11.36 MB
  • 08. Deep Q-Learning Implementation/1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.mp4
    10.34 MB
  • 08. Deep Q-Learning Implementation/8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).mp4
    8.67 MB
  • 08. Deep Q-Learning Implementation/10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.mp4
    7.64 MB
  • 08. Deep Q-Learning Implementation/9. Step 7 Implementing Experience Replay Memory in DQN with Python.mp4
    6.59 MB
  • 08. Deep Q-Learning Implementation/20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.vtt
    31.36 KB
  • 08. Deep Q-Learning Implementation/19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.vtt
    15.6 KB
  • 08. Deep Q-Learning Implementation/14. Step 12 DQN Action Selection - State Processing to Policy Implementation.vtt
    14.68 KB
  • 08. Deep Q-Learning Implementation/15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.vtt
    14.28 KB
  • 08. Deep Q-Learning Implementation/5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.vtt
    13.89 KB
  • 08. Deep Q-Learning Implementation/12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.vtt
    12.66 KB
  • 08. Deep Q-Learning Implementation/11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.vtt
    12.64 KB
  • 08. Deep Q-Learning Implementation/13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.vtt
    12.15 KB
  • 08. Deep Q-Learning Implementation/3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.vtt
    11.84 KB
  • 08. Deep Q-Learning Implementation/4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.vtt
    10.7 KB
  • 08. Deep Q-Learning Implementation/16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.vtt
    10.43 KB
  • 08. Deep Q-Learning Implementation/22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.vtt
    8.83 KB
  • 08. Deep Q-Learning Implementation/7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.vtt
    8.77 KB
  • 08. Deep Q-Learning Implementation/21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.vtt
    8.61 KB
  • 08. Deep Q-Learning Implementation/18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.vtt
    8.57 KB
  • 08. Deep Q-Learning Implementation/6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.vtt
    6.5 KB
  • 08. Deep Q-Learning Implementation/8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).vtt
    6.49 KB
  • 08. Deep Q-Learning Implementation/10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.vtt
    5.03 KB
  • 08. Deep Q-Learning Implementation/9. Step 7 Implementing Experience Replay Memory in DQN with Python.vtt
    4.27 KB
  • 08. Deep Q-Learning Implementation/17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.vtt
    3.4 KB
  • 08. Deep Q-Learning Implementation/1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.vtt
    2.13 KB
  • 08. Deep Q-Learning Implementation/2. Get the Codes here.html
    430 B
  • 08. Deep Q-Learning Implementation/2. Deep-Q-Learning.txt
    42 B
  • 08. Deep Q-Learning Implementation/21. AI-Landing.txt
    39 B
  • 09. ---------- Part 2 - Deep Convolutional Q-Learning ----------/1. Welcome to Part 2 - Deep Convolutional Q-Learning.html
    661 B
  • 10. Deep Convolutional Q-Learning Intuition/2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.mp4
    24.39 MB
  • 10. Deep Convolutional Q-Learning Intuition/3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.mp4
    16.21 MB
  • 10. Deep Convolutional Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4
    4.94 MB
  • 10. Deep Convolutional Q-Learning Intuition/3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.vtt
    14.49 KB
  • 10. Deep Convolutional Q-Learning Intuition/2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.vtt
    11.77 KB
  • 10. Deep Convolutional Q-Learning Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt
    5.45 KB
  • 11. Deep Convolutional Q-Learning Implementation/13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.mp4
    109.5 MB
  • 11. Deep Convolutional Q-Learning Implementation/4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.mp4
    47.76 MB
  • 11. Deep Convolutional Q-Learning Implementation/11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.mp4
    41.15 MB
  • 11. Deep Convolutional Q-Learning Implementation/10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.mp4
    39.94 MB
  • 11. Deep Convolutional Q-Learning Implementation/5. Step 3 Building CNNs - Creating AI's Visual Processing System.mp4
    34.72 MB
  • 11. Deep Convolutional Q-Learning Implementation/12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.mp4
    33.23 MB
  • 11. Deep Convolutional Q-Learning Implementation/8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.mp4
    30.92 MB
  • 11. Deep Convolutional Q-Learning Implementation/3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.mp4
    27.37 MB
  • 11. Deep Convolutional Q-Learning Implementation/7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.mp4
    19.99 MB
  • 11. Deep Convolutional Q-Learning Implementation/15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.mp4
    18.12 MB
  • 11. Deep Convolutional Q-Learning Implementation/6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.mp4
    15.58 MB
  • 11. Deep Convolutional Q-Learning Implementation/14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.mp4
    12.95 MB
  • 11. Deep Convolutional Q-Learning Implementation/1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.mp4
    7.31 MB
  • 11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.mp4
    4.71 MB
  • 11. Deep Convolutional Q-Learning Implementation/13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.vtt
    21.13 KB
  • 11. Deep Convolutional Q-Learning Implementation/5. Step 3 Building CNNs - Creating AI's Visual Processing System.vtt
    18.41 KB
  • 11. Deep Convolutional Q-Learning Implementation/11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.vtt
    16.07 KB
  • 11. Deep Convolutional Q-Learning Implementation/10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.vtt
    12.66 KB
  • 11. Deep Convolutional Q-Learning Implementation/12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.vtt
    12.64 KB
  • 11. Deep Convolutional Q-Learning Implementation/7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.vtt
    11.98 KB
  • 11. Deep Convolutional Q-Learning Implementation/15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.vtt
    8.9 KB
  • 11. Deep Convolutional Q-Learning Implementation/4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.vtt
    8.62 KB
  • 11. Deep Convolutional Q-Learning Implementation/3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.vtt
    7.53 KB
  • 11. Deep Convolutional Q-Learning Implementation/6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.vtt
    7.46 KB
  • 11. Deep Convolutional Q-Learning Implementation/14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.vtt
    6.96 KB
  • 11. Deep Convolutional Q-Learning Implementation/8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.vtt
    6.34 KB
  • 11. Deep Convolutional Q-Learning Implementation/9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.vtt
    3.51 KB
  • 11. Deep Convolutional Q-Learning Implementation/1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.vtt
    2.26 KB
  • 11. Deep Convolutional Q-Learning Implementation/2. Get the Codes here.html
    430 B
  • 11. Deep Convolutional Q-Learning Implementation/2. Deep-Convolutional-Q-Learning.txt
    40 B
  • 11. Deep Convolutional Q-Learning Implementation/14. Video-of-AI-playing-Pac-Man-like-a-human.txt
    38 B
  • 12. ---------- Part 3 - A3C ----------/1. Welcome to Part 3 - A3C.html
    522 B
  • 13. A3C Intuition/2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.mp4
    51.93 MB
  • 13. A3C Intuition/5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.mp4
    37.07 MB
  • 13. A3C Intuition/6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.mp4
    36.54 MB
  • 13. A3C Intuition/4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.mp4
    35.05 MB
  • 13. A3C Intuition/3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.mp4
    21.31 MB
  • 13. A3C Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4
    4.99 MB
  • 13. A3C Intuition/6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.vtt
    25.22 KB
  • 13. A3C Intuition/5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.vtt
    24.38 KB
  • 13. A3C Intuition/4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.vtt
    19.5 KB
  • 13. A3C Intuition/3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.vtt
    10.97 KB
  • 13. A3C Intuition/2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.vtt
    7 KB
  • 13. A3C Intuition/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt
    5.6 KB
  • 14. A3C Implementation/16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.mp4
    114.21 MB
  • 14. A3C Implementation/17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).mp4
    82.62 MB
  • 14. A3C Implementation/10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.mp4
    76.98 MB
  • 14. A3C Implementation/9. A3C Agent Converting States to Actions with PyTorch Neural Networks.mp4
    58.57 MB
  • 14. A3C Implementation/5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.mp4
    58.44 MB
  • 14. A3C Implementation/4. A3C Algorithm Implementation Neural Network & Environment Setup.mp4
    42.49 MB
  • 14. A3C Implementation/14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.mp4
    35.72 MB
  • 14. A3C Implementation/8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.mp4
    34.17 MB
  • 14. A3C Implementation/13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.mp4
    33.9 MB
  • 14. A3C Implementation/12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.mp4
    33.86 MB
  • 14. A3C Implementation/3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.mp4
    31.59 MB
  • 14. A3C Implementation/6. A3C Algorithm Building Action & State Value Outputs - Step 4.mp4
    31.53 MB
  • 14. A3C Implementation/7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.mp4
    20.5 MB
  • 14. A3C Implementation/15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.mp4
    19.22 MB
  • 14. A3C Implementation/11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.mp4
    11.77 MB
  • 14. A3C Implementation/1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.mp4
    10.4 MB
  • 14. A3C Implementation/16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.vtt
    31.49 KB
  • 14. A3C Implementation/10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.vtt
    28.48 KB
  • 14. A3C Implementation/17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).vtt
    22.2 KB
  • 14. A3C Implementation/5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.vtt
    19.23 KB
  • 14. A3C Implementation/9. A3C Agent Converting States to Actions with PyTorch Neural Networks.vtt
    18.4 KB
  • 14. A3C Implementation/14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.vtt
    17.36 KB
  • 14. A3C Implementation/12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.vtt
    16.32 KB
  • 14. A3C Implementation/6. A3C Algorithm Building Action & State Value Outputs - Step 4.vtt
    13.75 KB
  • 14. A3C Implementation/13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.vtt
    12.38 KB
  • 14. A3C Implementation/8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.vtt
    11.68 KB
  • 14. A3C Implementation/3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.vtt
    11.08 KB
  • 14. A3C Implementation/4. A3C Algorithm Implementation Neural Network & Environment Setup.vtt
    10.95 KB
  • 14. A3C Implementation/7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.vtt
    9.55 KB
  • 14. A3C Implementation/15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.vtt
    6.07 KB
  • 14. A3C Implementation/11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.vtt
    3.16 KB
  • 14. A3C Implementation/1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.vtt
    2.32 KB
  • 14. A3C Implementation/2. Get the Codes here.html
    430 B
  • 14. A3C Implementation/16. Video-of-Kung-Fu-AI-Model.txt
    38 B
  • 14. A3C Implementation/2. A3C-Reinforcement-Learning.txt
    32 B
  • 15. ---------- Part 4 - PPO and SAC ----------/1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.mp4
    12.74 MB
  • 15. ---------- Part 4 - PPO and SAC ----------/1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.vtt
    2.66 KB
  • 15. ---------- Part 4 - PPO and SAC ----------/2. Build and Train the PPO and SAC models for a Self-Driving Car! Theory included.html
    2.17 KB
  • 15. ---------- Part 4 - PPO and SAC ----------/2. PPO-and-SAC-Models.txt
    38 B
  • 16. ---------- Part 5 - Intro to Large Language Models (LLMs) ----------/1. Welcome to Part 5 - Intro to Large Language Models (LLMs).html
    749 B
  • 17. LLMs Intuition/1. Introduction to Large Language Models (LLMs) Transformers Explained.mp4
    27.38 MB
  • 17. LLMs Intuition/8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.mp4
    23.04 MB
  • 17. LLMs Intuition/5. How Do Large Language Models Work A Deep Dive into LLM Architecture.mp4
    18.41 MB
  • 17. LLMs Intuition/2. Building Large Language Models Essential Ingredients for LLM Development.mp4
    14.12 MB
  • 17. LLMs Intuition/4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.mp4
    11.09 MB
  • 17. LLMs Intuition/6. What Are LLM Parameters Understanding Large Language Model Size Explained.mp4
    10.33 MB
  • 17. LLMs Intuition/3. How Were Large Language Models Invented Origins of Transformer AI.mp4
    6.77 MB
  • 17. LLMs Intuition/7. Context Windows Explained How LLMs Remember Conversation History.mp4
    6.11 MB
  • 17. LLMs Intuition/5. How Do Large Language Models Work A Deep Dive into LLM Architecture.vtt
    7.61 KB
  • 17. LLMs Intuition/2. Building Large Language Models Essential Ingredients for LLM Development.vtt
    4.62 KB
  • 17. LLMs Intuition/8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.vtt
    4.53 KB
  • 17. LLMs Intuition/4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.vtt
    4.47 KB
  • 17. LLMs Intuition/6. What Are LLM Parameters Understanding Large Language Model Size Explained.vtt
    3.21 KB
  • 17. LLMs Intuition/7. Context Windows Explained How LLMs Remember Conversation History.vtt
    3.18 KB
  • 17. LLMs Intuition/1. Introduction to Large Language Models (LLMs) Transformers Explained.vtt
    2.81 KB
  • 17. LLMs Intuition/3. How Were Large Language Models Invented Origins of Transformer AI.vtt
    2.03 KB
  • 18. LLMs Implementation/7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.mp4
    119.61 MB
  • 18. LLMs Implementation/4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.mp4
    99.9 MB
  • 18. LLMs Implementation/3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.mp4
    97.82 MB
  • 18. LLMs Implementation/9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.mp4
    79.88 MB
  • 18. LLMs Implementation/5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.mp4
    43.28 MB
  • 18. LLMs Implementation/8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.mp4
    38.3 MB
  • 18. LLMs Implementation/6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.mp4
    23.36 MB
  • 18. LLMs Implementation/1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.mp4
    12.86 MB
  • 18. LLMs Implementation/7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.vtt
    21.54 KB
  • 18. LLMs Implementation/4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.vtt
    19.44 KB
  • 18. LLMs Implementation/9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.vtt
    16.89 KB
  • 18. LLMs Implementation/3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.vtt
    15.92 KB
  • 18. LLMs Implementation/5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.vtt
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  • 18. LLMs Implementation/8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.vtt
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  • 18. LLMs Implementation/6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.vtt
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  • 18. LLMs Implementation/1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.vtt
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  • 18. LLMs Implementation/2. Get the Codes here.html
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  • 18. LLMs Implementation/10. Build a RAG-powered Generative AI application with Knowledge Bases, from scratch.html
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  • 18. LLMs Implementation/2. Extra-part-LLMs.txt
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  • 19. THANK YOU/1. THANK YOU Video.mp4
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  • 19. THANK YOU/1. THANK YOU Video.vtt
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  • 20. Annex 1 Artificial Neural Networks/1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.mp4
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  • 20. Annex 1 Artificial Neural Networks/3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.mp4
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  • 20. Annex 1 Artificial Neural Networks/6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.mp4
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  • 20. Annex 1 Artificial Neural Networks/5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.mp4
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  • 20. Annex 1 Artificial Neural Networks/7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.mp4
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  • 20. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.mp4
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  • 20. Annex 1 Artificial Neural Networks/4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.mp4
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  • 20. Annex 1 Artificial Neural Networks/9. Backpropagation in Neural Networks Step-by-Step Training Guide.mp4
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  • 20. Annex 1 Artificial Neural Networks/2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4
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  • 20. Annex 1 Artificial Neural Networks/3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.vtt
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  • 20. Annex 1 Artificial Neural Networks/6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.vtt
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  • 20. Annex 1 Artificial Neural Networks/5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.vtt
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  • 20. Annex 1 Artificial Neural Networks/1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.vtt
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  • 20. Annex 1 Artificial Neural Networks/7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.vtt
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  • 20. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.vtt
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  • 20. Annex 1 Artificial Neural Networks/4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.vtt
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  • 20. Annex 1 Artificial Neural Networks/9. Backpropagation in Neural Networks Step-by-Step Training Guide.vtt
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  • 20. Annex 1 Artificial Neural Networks/2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt
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  • 21. Annex 2 Convolutional Neural Networks/5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.mp4
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  • 21. Annex 2 Convolutional Neural Networks/2. CNN vs Human Vision How Convolutional Neural Networks Process Images.mp4
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  • 21. Annex 2 Convolutional Neural Networks/3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.mp4
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  • 21. Annex 2 Convolutional Neural Networks/7. Step 4 CNN Classification - How FC Layers Process Features.mp4
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  • 21. Annex 2 Convolutional Neural Networks/9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.mp4
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  • 21. Annex 2 Convolutional Neural Networks/4. ReLU in CNN Understanding Non-Linearity for Deep Learning.mp4
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  • 21. Annex 2 Convolutional Neural Networks/8. CNN Architecture Explained Feature Detection to Neural Network Classification.mp4
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  • 21. Annex 2 Convolutional Neural Networks/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4
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  • 21. Annex 2 Convolutional Neural Networks/6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.mp4
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  • 21. Annex 2 Convolutional Neural Networks/7. Step 4 CNN Classification - How FC Layers Process Features.vtt
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  • 21. Annex 2 Convolutional Neural Networks/9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.vtt
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  • 21. Annex 2 Convolutional Neural Networks/3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.vtt
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  • 21. Annex 2 Convolutional Neural Networks/2. CNN vs Human Vision How Convolutional Neural Networks Process Images.vtt
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  • 21. Annex 2 Convolutional Neural Networks/5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.vtt
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  • 21. Annex 2 Convolutional Neural Networks/4. ReLU in CNN Understanding Non-Linearity for Deep Learning.vtt
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  • 21. Annex 2 Convolutional Neural Networks/8. CNN Architecture Explained Feature Detection to Neural Network Classification.vtt
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  • 21. Annex 2 Convolutional Neural Networks/1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt
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  • 21. Annex 2 Convolutional Neural Networks/6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.vtt
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  • 22. Congratulations!! Don't forget your Prize )/2. 2025-01-10_09-20-17-ac766710651c6ae3718f7bc4dccb07f8.png
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  • 22. Congratulations!! Don't forget your Prize )/2. Bonus How To UNLOCK Top Salaries (Live Training).html
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