Media Summary: In this last lesson of the course, we focus on the different Few more details after backprop. Initializing weights, scaling inputs, batch norm, updating weights and biases. The weights of artificial neural networks must be initialized to small random numbers. This is because this is an expectation of the ...
Tutorial 4 Optimization And Initialization - Detailed Analysis & Overview
In this last lesson of the course, we focus on the different Few more details after backprop. Initializing weights, scaling inputs, batch norm, updating weights and biases. The weights of artificial neural networks must be initialized to small random numbers. This is because this is an expectation of the ... In this video, we discuss how to extract the parameters of a neural network or deep learning model, i.e., weights and biases, ... Take the Deep Learning Specialization: Check out all our courses: Subscribe to ...
