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2:22:04 Convolutional Neural Networks [Basics of CNN, Convolution Operation, Filters, Feature Maps,
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Classroom Contents
Complete Deep Learning in 5 Hours Explained in Hindi
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- 1 0:00 Introduction to Deep Learning [History of AI → ML → DL, Difference between Machine Learning & Deep Learning, Biological vs. Artificial Neural Networks, Applications of Deep Learning, Basics of P…
- 2 35:30 Fundamentals of Neural Networks [Perceptron model, Multi-Layer Perceptron, Activation Functions, Gradient Descent & Backpropagation, Loss Functions, Optimization algorithms SGD, MiniBatch SGD, …
- 3 2:22:04 Convolutional Neural Networks [Basics of CNN, Convolution Operation, Filters, Feature Maps,
- 4 3:23:06 Recurrent Neural Networks [Basics of RNN, Sequential Data & Time-Series Modeling, Vanishing & Exploding Gradients problem, Long Short-Term Memory, GRU, Applications of RNN, LSTM, and GRU]
- 5 4:06:28 Advanced Deep Learning Architectures [Autoencoders, Generative Adversarial Networks GANs, Basics of T ransformers & Attention Mechanism, Reinforcement Learning & Deep Q-Learning]
