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

Udemy Artificial Intelligence 2025 Agentic AI Gen AI and RL 2025

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

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4.1 GB

Total Files

250

Last Seen

2025-07-17 00:25

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518F07259B6A5B83A4D7307D3463DAF0496D26F5

/01. Welcome to the course!/

2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.mp4

9.9 MB

2. How to Build Your First AI Chatbot Using AWS PartyRock No Coding Required.vtt

8.9 KB

3. Prizes $$ for Learning.html

0.4 KB

1. Get the Course Materials!.html

0.4 KB

/02. Agentic AI/

1. Build a Cloud-powered AI Agent for Business Assistance, completely from scratch!.html

1.6 KB

/03. ---------- Part 0 - Fundamentals Of Reinforcement Learning ----------/

1. Welcome to Part 0 - Fundamentals of Reinforcement Learning.html

1.3 KB

/04. Q-Learning Intuition/

2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.mp4

57.8 MB

7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.mp4

52.6 MB

3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.mp4

44.8 MB

9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.mp4

38.3 MB

5. Markov Decision Processes in Reinforcement Learning A Complete Guide.mp4

37.0 MB

8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.mp4

30.7 MB

6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.mp4

28.3 MB

4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.mp4

8.6 MB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4

3.6 MB

3. Bellman Equation in Reinforcement Learning A Step-by-Step Introduction.vtt

32.2 KB

9. Temporal Difference in Q-Learning A Complete Guide for Reinforcement Learning.vtt

30.9 KB

5. Markov Decision Processes in Reinforcement Learning A Complete Guide.vtt

28.4 KB

8. Q-Learning in Reinforcement Learning From V-Values to Q-Values Explained.vtt

23.7 KB

6. RL Tutorial Optimal Policy vs Fixed Plans in AI Decision Making.vtt

23.0 KB

10.1 Quiz 1.html

20.5 KB

2. How Reinforcement Learning Works A Beginner's Guide to AI Training Methods.vtt

20.5 KB

7. Living Penalty in Reinforcement Learning Optimize AI Agent Decision Making.vtt

15.1 KB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt

6.2 KB

4. From State Values to Optimal Plans Bellman Equation in AI Decision Making.vtt

3.9 KB

/05. Q-Learning Implementation/

1. A Q-Learning Implementation for Process Optimization.html

1.5 KB

1. A-Q-Learning-Implementation-for-Process-Optimization.txt

0.0 KB

/06. ---------- Part 1 - Deep Q-Learning ----------/

1. Welcome to Part 1 - Deep Q-Learning.html

1.1 KB

/07. Deep Q-Learning Intuition/

5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.mp4

57.0 MB

4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.mp4

40.0 MB

2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.mp4

36.2 MB

3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.mp4

15.3 MB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4

3.7 MB

5. Q-Learning Guide to Epsilon-Greedy & Softmax Action Selection Algorithms.vtt

26.5 KB

4. Experience Replay in Deep Q-Learning How it Works & Why it Matters.vtt

25.7 KB

2. Deep Q-Learning vs Traditional Q-Learning Key Differences Explained.vtt

24.2 KB

3. How Deep Q-Learning Works Neural Networks & Reinforcement Learning Explained.vtt

10.7 KB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt

4.8 KB

/08. Deep Q-Learning Implementation/

20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.mp4

153.8 MB

13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.mp4

54.5 MB

19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.mp4

52.5 MB

14. Step 12 DQN Action Selection - State Processing to Policy Implementation.mp4

50.4 MB

16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.mp4

49.6 MB

4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.mp4

47.9 MB

12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.mp4

46.3 MB

15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.mp4

31.4 MB

11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.mp4

30.8 MB

21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.mp4

29.0 MB

3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.mp4

27.3 MB

5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.mp4

25.8 MB

7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.mp4

17.6 MB

18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.mp4

14.1 MB

17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.mp4

13.8 MB

6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.mp4

13.0 MB

22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.mp4

11.9 MB

1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.mp4

10.8 MB

8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).mp4

9.1 MB

10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.mp4

8.0 MB

9. Step 7 Implementing Experience Replay Memory in DQN with Python.mp4

6.9 MB

20. Step 18 DQN Training Visualization - Dynamic Score Tracking Implementation.vtt

32.1 KB

19. Step 17 Deep Q-Learning Training Loop - Complete Lunar Lander Guide.vtt

16.0 KB

14. Step 12 DQN Action Selection - State Processing to Policy Implementation.vtt

15.0 KB

15. Step 13 Deep Q-Network Training - Implementing Learn Method for RL.vtt

14.6 KB

5. Step 3 - PyTorch DQN Architecture Building the AI Brain for OpenAI Lunar Lander.vtt

14.2 KB

12. DQN Tutorial Initialize Q-Networks, Optimizer & Replay Memory Buffer.vtt

13.0 KB

11. Step 9 Coding DQN Memory Sampling - PyTorch Experience Replay Tutorial.vtt

12.9 KB

13. Step 11 DQN Step Method - Store & Learn from Experiences in Python.vtt

12.4 KB

3. Step 1 - Deep Q-Learning Environment Setup From Gmail to Lunar Lander Training.vtt

12.1 KB

4. Google Colab Setup Deep Q-Learning for Lunar Lander Tutorial.vtt

11.0 KB

16. Step 14 - Deep Q-Network Implementation Soft Update Method for Stable Training.vtt

10.7 KB

22. ChatGPT vs Custom DQN Comparing Deep RL Implementations.vtt

9.0 KB

7. Step 5 - Configure LunarLander-v2 Environment Parameters for DQN Training.vtt

9.0 KB

21. Step 19 Visualizing Deep Q-Learning - AI Perfects Lunar Lander Landing.vtt

8.8 KB

18. Step 16 - Epsilon-Greedy Strategy Initializing AI Training Hyperparameters.vtt

8.8 KB

6. PyTorch Deep Q-Learning Implementing Forward Method for Neural Nets.vtt

6.7 KB

8. DQN Hyperparameters Learning Rate & Replay Buffer Setup Guide (Step 6).vtt

6.6 KB

10. Step 8 DQN Push Method - Adding Experiences to Replay Memory Buffer.vtt

5.2 KB

9. Step 7 Implementing Experience Replay Memory in DQN with Python.vtt

4.4 KB

17. Step 15 Creating Your First AI Agent - Deep Q-Network (DQN) Tutorial.vtt

3.5 KB

1. How to Train an AI Lunar Lander using Deep Q-Learning and Python.vtt

2.2 KB

2. Get the Codes here.html

0.4 KB

2. Deep-Q-Learning.txt

0.0 KB

21. AI-Landing.txt

0.0 KB

/09. ---------- Part 2 - Deep Convolutional Q-Learning ----------/

1. Welcome to Part 2 - Deep Convolutional Q-Learning.html

0.7 KB

/10. Deep Convolutional Q-Learning Intuition/

2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.mp4

25.6 MB

3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.mp4

17.0 MB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4

5.2 MB

3. Deep Q-Learning vs Eligibility Trace AI Algorithm Comparison & Guide.vtt

14.8 KB

2. Deep Convolutional Q-Learning Build AI Agents for Game Environments.vtt

12.1 KB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt

5.6 KB

/11. Deep Convolutional Q-Learning Implementation/

13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.mp4

114.8 MB

4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.mp4

50.1 MB

11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.mp4

43.2 MB

10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.mp4

41.9 MB

5. Step 3 Building CNNs - Creating AI's Visual Processing System.mp4

36.4 MB

12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.mp4

34.8 MB

8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.mp4

32.4 MB

3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.mp4

28.7 MB

7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.mp4

21.0 MB

15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.mp4

19.0 MB

6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.mp4

16.3 MB

14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.mp4

13.6 MB

1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.mp4

7.7 MB

9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.mp4

4.9 MB

13. Step 11 Optimizing DQN Training on V100 GPU - Setup to Solved Environment.vtt

21.6 KB

5. Step 3 Building CNNs - Creating AI's Visual Processing System.vtt

18.9 KB

11. Step 9 Deep Q-Learning to DCQN - Experience Replay & Memory Updates.vtt

16.5 KB

10. Image Preprocessing for Deep Q-Learning PIL & Torchvision Implementation.vtt

13.0 KB

12. Step 10 Implementing DCQN Agent - Deep Q-Learning Adaptation & Methods.vtt

12.9 KB

7. Step 5 Deep Q-Learning - Building AI's Visual Processing System.vtt

12.3 KB

15. Step 13 Deep Q-Learning - Optimizing Neural Networks with GPT-4.vtt

9.1 KB

4. Step 2 - Implementing DCQN Architecture in Python Setup & Neural Network Design.vtt

8.8 KB

3. Deep Q-Learning Setting Up Pac-Man in OpenAI Gym - Step 1.vtt

7.7 KB

6. CNN Architecture Adding Fully Connected Layers After Convolutional Layers.vtt

7.6 KB

14. Step 12 Visualizing Deep Q-Learning - Watch AI Play Pac-Man Like a Human.vtt

7.1 KB

8. Step 6 Configuring Miss Pacman for Deep Q-Learning Training.vtt

6.5 KB

9. Step 7 Deep Q-Learning Hyperparameters - Learning Rate & Batch Size Setup.vtt

3.6 KB

1. Deep Q-Learning Build AI Pac-Man with Convolutional Neural Networks.vtt

2.3 KB

2. Get the Codes here.html

0.4 KB

2. Deep-Convolutional-Q-Learning.txt

0.0 KB

14. Video-of-AI-playing-Pac-Man-like-a-human.txt

0.0 KB

/12. ---------- Part 3 - A3C ----------/

1. Welcome to Part 3 - A3C.html

0.5 KB

/13. A3C Intuition/

2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.mp4

54.4 MB

5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.mp4

38.9 MB

6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.mp4

38.3 MB

4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.mp4

36.7 MB

3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.mp4

22.3 MB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4

5.2 MB

6. LSTM in A3C Algorithm How Memory Enhances Reinforcement Learning Performance.vtt

25.8 KB

5. How Does Advantage Work in Actor-Critic Methods A3C Algorithm Explained.vtt

25.0 KB

4. Asynchronous Learning in A3C Shared Critics and Neural Networks Explained.vtt

20.0 KB

3. Actor-Critic Algorithm From Deep Q-Learning to A3C Implementation.vtt

11.2 KB

2. A3C Algorithm Tutorial Understanding Asynchronous Advantage Actor-Critic in AI.vtt

7.2 KB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt

5.7 KB

/14. A3C Implementation/

16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.mp4

119.8 MB

17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).mp4

86.6 MB

10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.mp4

80.7 MB

9. A3C Agent Converting States to Actions with PyTorch Neural Networks.mp4

61.4 MB

5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.mp4

61.3 MB

4. A3C Algorithm Implementation Neural Network & Environment Setup.mp4

44.6 MB

14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.mp4

37.5 MB

8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.mp4

35.8 MB

13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.mp4

35.5 MB

12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.mp4

35.5 MB

3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.mp4

33.1 MB

6. A3C Algorithm Building Action & State Value Outputs - Step 4.mp4

33.1 MB

7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.mp4

21.5 MB

15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.mp4

20.2 MB

11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.mp4

12.3 MB

1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.mp4

10.9 MB

16. Step 14 A3C Training Loop with Progress Bar for Kung Fu AI Model.vtt

32.2 KB

10. Step 8 Coding A3C Step Method in PyTorch - Complete Implementation Guide.vtt

29.2 KB

17. ChatGPT A3C Model PyTorch for KungFuMaster AI Optimization (Step 15).vtt

22.7 KB

5. Step 3 - A3C Deep Reinforcement Learning Network Class & Architecture Design.vtt

19.7 KB

9. A3C Agent Converting States to Actions with PyTorch Neural Networks.vtt

18.8 KB

14. Step 12 Multi-Environment A3C - EnvBatch Class Implementation Tutorial.vtt

17.8 KB

12. Implementing A3C Agent Evaluation in Python Deep RL Tutorial Step 10.vtt

16.7 KB

6. A3C Algorithm Building Action & State Value Outputs - Step 4.vtt

14.1 KB

13. Step 11 EnvBatch Class for A3C Multi-Environment Training in Python.vtt

12.7 KB

8. Step 6 A3C Agent Class Init Method for Deep Reinforcement Learning.vtt

12.0 KB

3. A3C Deep RL Setting Up Kung Fu Master Environment in Atari.vtt

11.3 KB

4. A3C Algorithm Implementation Neural Network & Environment Setup.vtt

11.2 KB

7. A3C Algorithm PreprocessAtari Class & Hyperparameter Tuning Setup.vtt

9.8 KB

15. Step 13 A3C Training - Multi-Environment Batch Setup Implementation.vtt

6.2 KB

11. Step 9 - How to Initialize an A3C Agent in Python Creating the Agent Instance.vtt

3.2 KB

1. A3C Reinforcement Learning Tutorial Building AI for Kung Fu Master Environment.vtt

2.4 KB

2. Get the Codes here.html

0.4 KB

16. Video-of-Kung-Fu-AI-Model.txt

0.0 KB

2. A3C-Reinforcement-Learning.txt

0.0 KB

/15. ---------- Part 4 - PPO and SAC ----------/

1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.mp4

13.4 MB

1. AWS DeepRacer Training Autonomous Vehicles with PPO and SAC Algorithms.vtt

2.7 KB

2. Build and Train the PPO and SAC models for a Self-Driving Car! Theory included.html

2.2 KB

2. PPO-and-SAC-Models.txt

0.0 KB

/16. ---------- Part 5 - Intro to Large Language Models (LLMs) ----------/

1. Welcome to Part 5 - Intro to Large Language Models (LLMs).html

0.7 KB

/17. LLMs Intuition/

1. Introduction to Large Language Models (LLMs) Transformers Explained.mp4

28.7 MB

8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.mp4

24.2 MB

5. How Do Large Language Models Work A Deep Dive into LLM Architecture.mp4

19.3 MB

2. Building Large Language Models Essential Ingredients for LLM Development.mp4

14.8 MB

4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.mp4

11.6 MB

6. What Are LLM Parameters Understanding Large Language Model Size Explained.mp4

10.8 MB

3. How Were Large Language Models Invented Origins of Transformer AI.mp4

7.1 MB

7. Context Windows Explained How LLMs Remember Conversation History.mp4

6.4 MB

5. How Do Large Language Models Work A Deep Dive into LLM Architecture.vtt

7.8 KB

2. Building Large Language Models Essential Ingredients for LLM Development.vtt

4.7 KB

8. Fine-Tuning Large Language Models Real-World Applications and Use Cases.vtt

4.6 KB

4. Understanding Next Word Prediction How LLMs Process Text One Word at a Time.vtt

4.6 KB

6. What Are LLM Parameters Understanding Large Language Model Size Explained.vtt

3.3 KB

7. Context Windows Explained How LLMs Remember Conversation History.vtt

3.3 KB

1. Introduction to Large Language Models (LLMs) Transformers Explained.vtt

2.9 KB

3. How Were Large Language Models Invented Origins of Transformer AI.vtt

2.1 KB

/18. LLMs Implementation/

7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.mp4

125.4 MB

4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.mp4

104.7 MB

3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.mp4

102.6 MB

9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.mp4

83.8 MB

5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.mp4

45.4 MB

8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.mp4

40.2 MB

6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.mp4

24.5 MB

1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.mp4

13.5 MB

7. Step 5 - Implementing SFTTrainer Memory-Efficient LLM Training with PEFT & LoRA.vtt

22.1 KB

4. Loading LLaMA 2 Model Hugging Face Transformers & 4-bit Precision.vtt

19.9 KB

9. Step 7 Chatting with Your Fine-Tuned Medical LLM via Text Generation.vtt

17.3 KB

3. Installing & Importing Key Libraries for Fine-Tuning Llama 2 Models.vtt

16.3 KB

5. Loading & Configuring HuggingFace Tokenizer for LLaMA 2 Implementation.vtt

12.9 KB

8. Step 6 LoRA & Quantization for Efficient LLM Training in Medical Terms.vtt

10.2 KB

6. Step 4 - Setting Training Arguments for LLM Fine-Tuning in Transformers Library.vtt

8.6 KB

1. Fine-Tuning LLMs for Medical Chatbots A Practical Guide with Hugging Face.vtt

3.0 KB

2. Get the Codes here.html

2.5 KB

10. Build a RAG-powered Generative AI application with Knowledge Bases, from scratch.html

1.6 KB

2. Extra-part-LLMs.txt

0.0 KB

/19. THANK YOU/

1. THANK YOU Video.mp4

56.5 MB

1. THANK YOU Video.vtt

2.7 KB

/20. Annex 1 Artificial Neural Networks/

1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.mp4

107.9 MB

3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.mp4

45.8 MB

6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.mp4

45.4 MB

5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.mp4

36.9 MB

7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.mp4

26.9 MB

8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.mp4

22.7 MB

4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.mp4

18.1 MB

9. Backpropagation in Neural Networks Step-by-Step Training Guide.mp4

14.7 MB

2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4

5.0 MB

3. How Do Artificial Neurons Work A Complete Guide to Neural Network Basics.vtt

26.8 KB

6. How Do Neural Networks Learn Understanding Backpropagation & Cost Functions.vtt

20.8 KB

5. How Do Neural Networks Work A Step-by-Step Property Valuation Example.vtt

20.4 KB

1. What is Deep Learning A Beginner's Guide to Artificial Neural Networks.vtt

20.1 KB

7. Understanding Gradient Descent Optimize Neural Network Weights Efficiently.vtt

14.8 KB

8. Stochastic Gradient Descent vs Batch Gradient Descent What's the Difference.vtt

13.5 KB

4. Neural Network Activation Functions ReLU, Sigmoid, Tanh & Threshold Explained.vtt

13.1 KB

9. Backpropagation in Neural Networks Step-by-Step Training Guide.vtt

7.8 KB

2. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt

4.4 KB

/21. Annex 2 Convolutional Neural Networks/

5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.mp4

91.7 MB

2. CNN vs Human Vision How Convolutional Neural Networks Process Images.mp4

74.5 MB

3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.mp4

68.8 MB

7. Step 4 CNN Classification - How FC Layers Process Features.mp4

61.4 MB

9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.mp4

54.0 MB

4. ReLU in CNN Understanding Non-Linearity for Deep Learning.mp4

21.6 MB

8. CNN Architecture Explained Feature Detection to Neural Network Classification.mp4

11.3 MB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.mp4

6.5 MB

6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.mp4

3.3 MB

7. Step 4 CNN Classification - How FC Layers Process Features.vtt

31.1 KB

9. Understanding Softmax and Cross-Entropy Loss Functions in Neural Networks.vtt

26.3 KB

3. CNN Convolution Feature Detection & Feature Maps in Deep Learning.vtt

24.9 KB

2. CNN vs Human Vision How Convolutional Neural Networks Process Images.vtt

23.5 KB

5. Step 2 - Max Pooling in CNN How to Reduce Feature Maps & Prevent Overfitting.vtt

23.2 KB

4. ReLU in CNN Understanding Non-Linearity for Deep Learning.vtt

9.8 KB

8. CNN Architecture Explained Feature Detection to Neural Network Classification.vtt

6.5 KB

1. Deep Learning Fundamentals Neural Networks & Activation Functions Explained.vtt

5.7 KB

6. Step 3 - CNN Feature Map Flattening From Pooling Layer to Neural Network Input.vtt

2.9 KB

/22. Congratulations!! Don't forget your Prize )/

2. 2025-01-10_09-20-17-ac766710651c6ae3718f7bc4dccb07f8.png

190.3 KB

2. Bonus How To UNLOCK Top Salaries (Live Training).html

1.8 KB

1. Find Your Career Path!.html

0.2 KB

 

Total files 250


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