Udemy Artificial Intelligence 2025 Agentic AI Gen AI and RL 2025 | 518F07259B6A5B83A4D7307D3463DAF0496D26F5

Udemy Artificial Intelligence 2025 Agentic AI Gen AI and RL 2025

Name	Udemy - Artificial Intelligence A-Z 2025 Agentic AI, Gen AI, and RL (3.2025)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.1 GB
Total Files	250
Last Seen	2025-07-17 00:25
Hash	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