2.28 GB | 10min 13s | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
1 -1 1 Introduction to Deep Learning.mp4 (83.22 MB)
2 -1 2 Neural Networks Basics.mp4 (86.54 MB)
3 -1 3 Training Deep Models.mp4 (103.27 MB)
1 -2 1 Challenges in Training Deep Models.mp4 (74.48 MB)
2 -2 2 Regularization Methods.mp4 (88.97 MB)
3 -2 3 Advanced Optimization Algorithms.mp4 (96.32 MB)
4 -2 4 Batch Normalization & Layer Normalization.mp4 (100.16 MB)
1 -3 1 CNN Fundamentals.mp4 (95.2 MB)
2 -3 2 CNN Architectures.mp4 (77.94 MB)
3 -3 3 Transfer Learning  Fine-tuning pre-trained models.mp4 (78.48 MB)
4 -3 4 Practical Applications - CNNs.mp4 (84.22 MB)
1 -4 1 Introduction to Sequence Models.mp4 (70.06 MB)
2 -4 2 RNN Basics - ForwardBackpropagation Through Time.mp4 (81.9 MB)
3 -4 3 LSTMs & GRUs.mp4 (75.49 MB)
4 -4 4 Attention Mechanism.mp4 (82.03 MB)
1 -5 1 Transformer Architecture.mp4 (61.74 MB)
2 -5 2 BERT, GPT, and Large Language Models (LLMs).mp4 (73.45 MB)
3 -5 3 Applications in NLP.mp4 (83.63 MB)
4 -5 4 Ethical Considerations in NLP & LLMs.mp4 (72.82 MB)
1 -6 1 Autoencoders (Basic & VAE).mp4 (69.45 MB)
2 -6 2 Generative Adversarial Networks (GANs).mp4 (70.09 MB)
3 -6 3 Diffusion Models (Intro).mp4 (58.32 MB)
4 -6 4 Applications of Generative Models.mp4 (57.85 MB)
1 -7 1 RL Foundations.mp4 (51.9 MB)
2 -7 2 Q-Learning & Deep Q-Networks (DQN).mp4 (59.35 MB)
3 -7 3 Policy Gradient Methods (REINFORCE, Actor-Critic).mp4 (62.62 MB)
4 -7 4 Applications of Reinforcement Learning.mp4 (81.28 MB)
1 -8 1 AI in Production.mp4 (62.42 MB)
2 -8 2 Model Interpretability & Explainable AI (XAI).mp4 (68.03 MB)
3 -8 3 Ethical AI & Responsible AI.mp4 (56.47 MB)
4 -8 4 The Future of Deep Learning.mp4 (67.51 MB)]
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