Code samples are modified for Michael Nielsen's book Neural Networks and Deep Learning by python 3.x
Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
Deep Artificial Neural Network for predicting student performance.
Code samples for my book "Neural Networks and Deep Learning"
This repository contains the project files and submissions for Project 1 - Your first neural network as part of Udacity's Deep Learning Nanodegree Foundation Program.
This is my assignment on Andrew Ng's course “neural networks and deep learning”
Deep Neural Network implemented for classifying if its a cat image or a non cat image.Deep Learning algorithm involving forward and backward propagation,cost function and updating parameters all implemented from scratch.
Experiments of Bayesian techniques applied to deep learning