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Deep Learning Specialization Advanced AI Architectures

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English

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Files:

Get Bonus Downloads Here.url 180 bytes
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 784 bytes
4 -Hands on Lab 1.pdf 423.2 KB
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 965 bytes
5 -Hands on lab 2.pdf 686.0 KB
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 729 bytes
5 -Hands on Lab 3.pdf 317.6 KB
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 691 bytes
5 -Hands on Lab 4.pdf 323.9 KB
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 778 bytes
5 -Hands on Lab 5.pdf 207.3 KB
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 726 bytes
5 -Hands on Lab 6.pdf 392.8 KB
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 733 bytes
5 -Hands on Lab 7.pdf 343.0 KB
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 828 bytes
5 -Hands on Lab 8.pdf 235.8 KB
Bonus Resources.txt 70 bytes

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