This is an introductory course on creating Practical Neural Nets Without Coding.
This section covers the installation of Deep Learning Studio.
Perceptron
Convolutional Neural Nets
Dropout Phenomenon
Autoencoder
Recurrent Neural Nets
Generative Adversarial Network
Deep Learning Studio Overview
Project 1: MNIST Classifier (Optical Character Recognition)
Project 2: Titanic Survival
Project 3: Customer Churn