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Backpropagation in Neural Networks - EXPLAINED!
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Classroom Contents
Deep Learning 101 - Zero to Hero for Deep Learning
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- 1 Building your first Neural Network
- 2 Backpropagation in Neural Networks - EXPLAINED!
- 3 Activation functions in neural networks
- 4 Optimizers in Neural Networks - EXPLAINED!
- 5 Loss functions in Neural Networks - EXPLAINED!
- 6 Batch Normalization in neural networks - EXPLAINED!
- 7 Embeddings - EXPLAINED!
- 8 Transfer Learning - EXPLAINED!
- 9 NLP with Neural Networks | ngram to LLMs
- 10 How much training data does a neural network need?
- 11 Hyper parameters - EXPLAINED!
