Grasp Neural Networks by Constructing from Scratch: Ahead/Backward Cross, SGD, and Vogue-MNIST Problem
What you’ll study
Implement neural networks from scratch, together with ahead and backward propagation
Grasp gradient descent, SGD with momentum, and different optimization strategies
Construct customized layers, activation features, and loss features with out exterior libraries
Apply your customized neural community to resolve the Vogue-MNIST classification problem
English
language
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