Training a Deep Neural Network in a Spreadsheet скачать в хорошем качестве

Training a Deep Neural Network in a Spreadsheet

This is Part 2 in a series in which we create and train a neural network in a spreadsheet. This covers Gradient Descent Backpropagation for a deep (2 layer) neural network that learns the XOR function. Part 1:    • Training a Neural Network in a Spread...   Sheets Template: https://bit.ly/NNsheet Geogebra plot: https://www.geogebra.org/3d/uzzwedjb More information on the Backpropagation Algorithm:    • Backpropagation calculus | DL4   http://neuralnetworksanddeeplearning.... Building a neural network in C++: https://markm208.github.io/cppbook/ch... Narration by James K. Script and visualizations by Kaylee L. 0:00 Intro 0:25 XOR function overview 0:36 Trying to teach a single layer neural network the XOR function 2:07 Why our network failed to learn the XOR function 3:33 Building a deep neural network for the XOR function 6:57 Exploring the weights and biases of a deep neural network 10:07 Visualizing the solution to the deep neural network 11:32 Revisiting the gradient descent formulas 12:23 Implementing "deep" gradient descent in our spreadsheet 21:30 Using copy/paste to iteratively train the network 23:31 Recap Full playlist of various Neural Networks in Spreadsheets:    • Training a Neural Network in a Spread...