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5 Lessons

Deep Learning Fundamentals

Focus on this chapter's key concepts. Dive into each topic for a detailed understanding with examples and structured notes.

Artificial Neural Networks (ANN) architecture

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1 of 5 Lessons

Activation functions (ReLU, Sigmoid, Tanh)

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2 of 5 Lessons

Forward propagation and Loss functions

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3 of 5 Lessons

Backpropagation algorithm and chain rule

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4 of 5 Lessons

Optimizers (Adam, RMSProp, SGD with momentum)

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5 of 5 Lessons

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Deep Learning Fundamentals - Advanced Machine Learning | MBA Business Analytics