Everything about Artificial Neural Network from Basic to Adavnced
memoization optimizer hyperparameters batch-normalization logistic-regression perceptron gradient-descent backpropagation weight-initialization loss-functions feature-scaling mnist-handwriting-recognition early-stopping activation-function vanishing-gradient dropout-layers reguarization expo-moving-average
-
Updated
Oct 16, 2024 - Jupyter Notebook