Deep Learning Specialization - Advanced AI Architectures

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Week 1 - Foundations of Deep Learning & Neural Networks
• 1 -1.1 Introduction to Deep Learning.en_US.vtt (9.4 KB)
• 1 -1.1 Introduction to Deep Learning.mp4 (83.2 MB)
• 2 -1.2 Neural Networks Basics.en_US.vtt (11.0 KB)
• 2 -1.2 Neural Networks Basics.mp4 (86.5 MB)
• 3 -1.3 Training Deep Models.en_US.vtt (11.2 KB)
• 3 -1.3 Training Deep Models.mp4 (103.3 MB)
• 4 - Week 1 Hands-On Labs Foundations of Deep Learning & Neural Networks.html (0.8 KB)
• 4 -Hands on Lab 1.pdf (423.2 KB)
2 - Week 2 - Optimization & Regularization Techniques
• 1 -2.1 Challenges in Training Deep Models.en_US.vtt (10.8 KB)
• 1 -2.1 Challenges in Training Deep Models.mp4 (74.5 MB)
• 2 -2.2 Regularization Methods.en_US.vtt (11.0 KB)
• 2 -2.2 Regularization Methods.mp4 (89.0 MB)
• 3 -2.3 Advanced Optimization Algorithms.en_US.vtt (11.3 KB)
• 3 -2.3 Advanced Optimization Algorithms.mp4 (96.3 MB)
• 4 -2.4 Batch Normalization & Layer Normalization.en_US.vtt (10.8 KB)
• 4 -2.4 Batch Normalization & Layer Normalization.mp4 (100.2 MB)
• 5 - Week 2 Hands-On Labs Optimization & Regularization Techniques.html (0.9 KB)
• 5 -Hands on lab 2.pdf (686.0 KB)
3 - Week 3 - Convolutional Neural Networks (CNNs)
• 1 -3.1 CNN Fundamentals.en_US.vtt (10.2 KB)
• 1 -3.1 CNN Fundamentals.mp4 (95.2 MB)
• 2 -3.2 CNN Architectures.en_US.vtt (9.7 KB)
• 2 -3.2 CNN Architectures.mp4 (77.9 MB)
• 3 -3.3 Transfer Learning Fine-tuning pre-trained models.en_US.vtt (10.9 KB)
• 3 -3.3 Transfer Learning Fine-tuning pre-trained models.mp4 (78.5 MB)
• 4 -3.4 Practical Applications – CNNs.en_US.vtt (9.8 KB)
• 4 -3.4 Practical Applications – CNNs.mp4 (84.2 MB)
• 5 - Week 3 Hands-On Labs Convolutional Neural Networks (CNNs).html (0.7 KB)
• 5 -Hands on Lab 3.pdf (317.6 KB)
4 - Week 4 - Recurrent Neural Networks (RNNs) & Sequence Models
• 1 -4.1 Introduction to Sequence Models.en_US.vtt (9.4 KB)
• 1 -4.1 Introduction to Sequence Models.mp4 (70.1 MB)
• 2 -4.2 RNN Basics – ForwardBackpropagation Through Time.en_US.vtt (9.6 KB)
• 2 -4.2 RNN Basics – ForwardBackpropagation Through Time.mp4 (81.9 MB)
• 3 -4.3 LSTMs & GRUs.en_US.vtt (9.2 KB)
• 3 -4.3 LSTMs & GRUs.mp4 (75.5 MB)
• 4 -4.4 Attention Mechanism.en_US.vtt (9.8 KB)
• 4 -4.4 Attention Mechanism.mp4 (82.0 MB)
• 5 - Week 4 Hands-On Labs RNNs & Sequence Models.html (0.7 KB)
• 5 -Hands on Lab 4.pdf (323.9 KB)
5 - Week 5 - Transformers & Natural Language Processing (NLP)
• 1 -5.1 Transformer Architecture.en_US.vtt (9.2 KB)
• 1 -5.1 Transformer Architecture.mp4 (61.7 MB)
• 2 -5.2 BERT, GPT, and Large Language Models (LLMs).en_US.vtt (9.4 KB)
• 2 -5.2 BERT, GPT, and Large Language Models (LLMs).mp4 (73.4 MB)
• 3 -5.3 Applications in NLP.en_US.vtt (9.2 KB)
• 3 -5.3 Applications in NLP.mp4 (83.6 MB)
• 4 -5.4 Ethical Considerations in NLP & LLMs.en_US.vtt (8.5 KB)
• 4 -5.4 Ethical Considerations in NLP & LLMs.mp4 (72.8 MB)
• 5 - Week 5 Hands-On Labs Transformers & NLP.html (0.8 KB)
• 5 -Hands on Lab 5.pdf (207.3 KB)
6 - Week 6 - Generative Models
• 1 -6.1 Autoencoders (Basic & VAE).en_US.vtt (8.8 KB)
• 1 -6.1 Autoencoders (Basic & VAE).mp4 (69.4 MB)
• 2 -6.2 Generative Adversarial Networks (GANs).en_US.vtt (8.7 KB)
• 2 -6.2 Generative Adversarial Networks (GANs).mp4 (70.1 MB)
• 3 -6.3 Diffusion Models (Intro).en_US.vtt (8.6 KB)
• 3 -6.3 Diffusion Models (Intro).mp4 (58.3 MB)
• 4 -6.4 Applications of Generative Models.en_US.vtt (7.7 KB)
• 4 -6.4 Applications of Generative Models.mp4 (57.8 MB)
• 5 - Week 6 Hands-On Labs Generative Models.html (0.7 KB)
• 5 -Hands on Lab 6.pdf (392.8 KB)
7 - Week 7 - Reinforcement Learning (RL) & Deep RL
• 1 -7.1 RL Foundations.en_US.vtt (8.3 KB)
• 1 -7.1 RL Foundations.mp4 (51.9 MB)
• 2 -7.2 Q-Learning & Deep Q-Networks (DQN).en_US.vtt (8.5 KB)
• 2 -7.2 Q-Learning & Deep Q-Networks (DQN).mp4 (59.4 MB)
• 3 -7.3 Policy Gradient Methods (REINFORCE, Actor-Critic).en_US.vtt (8.6 KB)
• 3 -7.3 Policy Gradient Methods (REINFORCE, Actor-Critic).mp4 (62.6 MB)
• 4 -7.4 Applications of Reinforcement Learning.en_US.vtt (8.7 KB)
• 4 -7.4 Applications of Reinforcement Learning.mp4 (81.3 MB)
• 5 - Week 7 Hands-On Labs Reinforcement Learning & Deep RL.html (0.7 KB)
• 5 -Hands on Lab 7.pdf (343.0 KB)
8 - Week 8 - Ethics, Deployment & Future of AI
• 1 -8.1 AI in Production.en_US.vtt (8.3 KB)
• 1 -8.1 AI in Production.mp4 (62.4 MB)
• 2 -8.2 Model Interpretability & Explainable AI (XAI).en_US.vtt (8.4 KB)
• 2 -8.2 Model Interpretability & Explainable AI (XAI).mp4 (68.0 MB)
• 3 -8.3 Ethical AI & Responsible AI.en_US.vtt (8.3 KB)
• 3 -8.3 Ethical AI & Responsible AI.mp4 (56.5 MB)
• 4 -8.4 The Future of Deep Learning.en_US.vtt (9.1 KB)
• 4 -8.4 The Future of Deep Learning.mp4 (67.5 MB)
• 5 - Week 8 Hands-On Labs Ethics, Deployment & Future of AI.html (0.8 KB)
• 5 -Hands on Lab 8.pdf (235.8 KB)
• Bonus Resources.txt (0.1 KB)