Neural Networks From Scratch - Lec 2 - Coding a Neural Network in Python

neural networks from scratch lec 15 gelu activation functionПодробнее

Neural Networks From Scratch - Lec 24 - Regression Losses - Mean Square Logarithmic ErrorПодробнее

Neural Networks From Scratch - Lec 19 - Approaching Regression Problem with Neural NetworksПодробнее

Neural Networks From Scratch - Lec 20 - Regression Losses - MAE, MAPE & MBEПодробнее

Neural Networks From Scratch - Lec 17 - Python Implementations of all Activation functionsПодробнее

Neural Networks From Scratch - Lec 23 - Regression Losses - Smooth L1 Loss and Huber Loss FunctionsПодробнее

Neural Networks From Scratch - Lec 21 - Regression Losses - MSE & RMSEПодробнее

Neural Networks From Scratch - Lec 22 - MAE vs RMSE, Comparison with an ExampleПодробнее

Neural Networks From Scratch - Lec 18 - Typical Neural Network Training SetupПодробнее

Neural Networks From Scratch - Lec 16 - Summary of all Activation functions in 10 minsПодробнее

Neural Networks From Scratch - Lec 5 - Step Activation FunctionПодробнее

Neural Networks From Scratch - Lec 9 - ReLU Activation FunctionПодробнее

Neural Networks From Scratch - Lec 10 - ReLU & Its VariantsПодробнее

Neural Networks From Scratch - Lec 11 - Maxout Activation FunctionПодробнее

Neural Networks From Scratch - Lec 15 - GeLU Activation FunctionПодробнее

Neural Networks From Scratch - Lec 13 - Swish Activation FunctionПодробнее

Neural Networks From Scratch - Lec 6 - Sigmoid Activation FunctionПодробнее

Neural Networks From Scratch - Lec 7 - Tanh Activation FunctionПодробнее

Neural Networks From Scratch - Lec 12 - Softplus Activation FunctionПодробнее

Neural Networks From Scratch - Lec 14 - Mish Activation FunctionПодробнее