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Checked by:
Category:
Language:
English
Total Size:
2.3 GB
Info Hash:
1E6684D6307B285D0FE3271997ECDC9BCF2FA2F5
Added By:
Added:
Sept. 5, 2025, 12:18 p.m.
Stats:
|
(Last updated: Sept. 5, 2025, 12:20 p.m.)
| File | Size |
|---|---|
| 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 |
Name
DL
Uploader
Size
S/L
Added
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36.7 MB
[3
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2023-07-01
| Uploaded by FreeCourseWeb | Size 36.7 MB | Health [ 3 /0 ] | Added 2023-07-01 |
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39.7 MB
[15
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2023-07-01
| Uploaded by FreeCourseWeb | Size 39.7 MB | Health [ 15 /7 ] | Added 2023-07-01 |
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141.7 MB
[8
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2023-07-01
| Uploaded by FreeCourseWeb | Size 141.7 MB | Health [ 8 /5 ] | Added 2023-07-01 |
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28.8 MB
[0
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2023-07-01
| Uploaded by FreeCourseWeb | Size 28.8 MB | Health [ 0 /7 ] | Added 2023-07-01 |
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2.8 MB
[10
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2023-07-01
| Uploaded by FreeCourseWeb | Size 2.8 MB | Health [ 10 /0 ] | Added 2023-07-01 |
NOTE
SOURCE: Deep Learning Specialization Advanced AI Architectures
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