| 1 -1.1 Introduction to Deep Learning.en_US.vtt | 9.4 KB | ||
| 1 -1.1 Introduction to Deep Learning.mp4 | 83.2 MB | ||
| 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 | ||
| 1 -3.1 CNN Fundamentals.en_US.vtt | 10.2 KB | ||
| 1 -3.1 CNN Fundamentals.mp4 | 95.2 MB | ||
| 1 -4.1 Introduction to Sequence Models.en_US.vtt | 9.4 KB | ||
| 1 -4.1 Introduction to Sequence Models.mp4 | 70.1 MB | ||
| 1 -5.1 Transformer Architecture.en_US.vtt | 9.2 KB | ||
| 1 -5.1 Transformer Architecture.mp4 | 61.7 MB | ||
| 1 -6.1 Autoencoders (Basic & VAE).en_US.vtt | 8.8 KB | ||
| 1 -6.1 Autoencoders (Basic & VAE).mp4 | 69.4 MB | ||
| 1 -7.1 RL Foundations.en_US.vtt | 8.3 KB | ||
| 1 -7.1 RL Foundations.mp4 | 51.9 MB | ||
| 1 -8.1 AI in Production.en_US.vtt | 8.3 KB | ||
| 1 -8.1 AI in Production.mp4 | 62.4 MB | ||
| 2 -1.2 Neural Networks Basics.en_US.vtt | 11 KB | ||
| 2 -1.2 Neural Networks Basics.mp4 | 86.5 MB | ||
| 2 -2.2 Regularization Methods.en_US.vtt | 11 KB | ||
| 2 -2.2 Regularization Methods.mp4 | 89 MB | ||
| 2 -3.2 CNN Architectures.en_US.vtt | 9.7 KB | ||
| 2 -3.2 CNN Architectures.mp4 | 77.9 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 | ||
| 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 | ||
| 2 -6.2 Generative Adversarial Networks (GANs).en_US.vtt | 8.7 KB | ||
| 2 -6.2 Generative Adversarial Networks (GANs).mp4 | 70.1 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 | ||
| 2 -8.2 Model Interpretability & Explainable AI (XAI).en_US.vtt | 8.4 KB | ||
| 2 -8.2 Model Interpretability & Explainable AI (XAI).mp4 | 68 MB | ||
| 3 -1.3 Training Deep Models.en_US.vtt | 11.2 KB | ||
| 3 -1.3 Training Deep Models.mp4 | 103.3 MB | ||
| 3 -2.3 Advanced Optimization Algorithms.en_US.vtt | 11.3 KB | ||
| 3 -2.3 Advanced Optimization Algorithms.mp4 | 96.3 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 | ||
| 3 -4.3 LSTMs & GRUs.en_US.vtt | 9.2 KB | ||
| 3 -4.3 LSTMs & GRUs.mp4 | 75.5 MB | ||
| 3 -5.3 Applications in NLP.en_US.vtt | 9.2 KB | ||
| 3 -5.3 Applications in NLP.mp4 | 83.6 MB | ||
| 3 -6.3 Diffusion Models (Intro).en_US.vtt | 8.6 KB | ||
| 3 -6.3 Diffusion Models (Intro).mp4 | 58.3 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 | ||
| 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 - Week 1 Hands-On Labs Foundations of Deep Learning & Neural Networks.html | 819.2 B | ||
| 4 -2.4 Batch Normalization & Layer Normalization.en_US.vtt | 10.8 KB | ||
| 4 -2.4 Batch Normalization & Layer Normalization.mp4 | 100.2 MB | ||
| 4 -3.4 Practical Applications – CNNs.en_US.vtt | 9.8 KB | ||
| 4 -3.4 Practical Applications – CNNs.mp4 | 84.2 MB | ||
| 4 -4.4 Attention Mechanism.en_US.vtt | 9.8 KB | ||
| 4 -4.4 Attention Mechanism.mp4 | 82 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 | ||
| 4 -6.4 Applications of Generative Models.en_US.vtt | 7.7 KB | ||
| 4 -6.4 Applications of Generative Models.mp4 | 57.8 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 | ||
| 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 | ||
| 4 -Hands on Lab 1.pdf | 423.2 KB | ||
| 5 - Week 2 Hands-On Labs Optimization & Regularization Techniques.html | 921.6 B | ||
| 5 - Week 3 Hands-On Labs Convolutional Neural Networks (CNNs).html | 716.8 B | ||
| 5 - Week 4 Hands-On Labs RNNs & Sequence Models.html | 716.8 B | ||
| 5 - Week 5 Hands-On Labs Transformers & NLP.html | 819.2 B | ||
| 5 - Week 6 Hands-On Labs Generative Models.html | 716.8 B | ||
| 5 - Week 7 Hands-On Labs Reinforcement Learning & Deep RL.html | 716.8 B | ||
| 5 - Week 8 Hands-On Labs Ethics, Deployment & Future of AI.html | 819.2 B | ||
| 5 -Hands on Lab 3.pdf | 317.6 KB | ||
| 5 -Hands on Lab 4.pdf | 323.9 KB | ||
| 5 -Hands on Lab 5.pdf | 207.3 KB | ||
| 5 -Hands on Lab 6.pdf | 392.8 KB | ||
| 5 -Hands on Lab 7.pdf | 343 KB | ||
| 5 -Hands on Lab 8.pdf | 235.8 KB | ||
| 5 -Hands on lab 2.pdf | 686 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 80 total files | |||
Deep Learning Specialization: Advanced AI Architectures
https://WebToolTip.com
Published 8/2025
Created by Data Science Academy,School of AI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 39 Lectures ( 4h 31m ) | Size: 2.3 GB
Master advanced AI with Deep Learning, Transformers, GANs, RL & real-world deployment skills
What you'll learn
Design, train, and optimize advanced deep learning models including CNNs, RNNs, Transformers, GANs, and Diffusion Models for real-world applications.
Apply reinforcement learning techniques such as Q-Learning, Deep Q-Networks, and Policy Gradient methods
Deploy deep learning models into production environments using Flask, FastAPI, Docker, and cloud platforms (AWS, GCP, Azure)
Interpret and evaluate AI models responsibly using Explainable AI (XAI) methods like SHAP, LIME, and attention visualization
Analyze emerging AI trends including multimodal systems, generative AI, and the path toward Artificial General Intelligence (AGI)
Requirements
Basic Knowledge of Python
Foundational Understanding of Machine Learning
Linear Algebra & Probability Basics
Deep Learning Frameworks (Optional but Helpful)
Tools & Setup
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 4 GB | freecoursewb | 3 months | 12 | 10 | |
| 498 MB | freecoursewb | 3 months | 16 | 2 | |
| 4 GB | freecoursewb | 5 months | 24 | 10 | |
| 2.5 GB | freecoursewb | 8 months | 14 | 3 | |
| 785.3 MB | freecoursewb | 9 months | 13 | 1 |
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