Fundamentals of Machine Learning for Software Engineers

The Echidna Dataset

Explore building neural networks with Keras by running shallow and deeper models on the Echidna dataset. Understand how adding layers affects network performance and decision boundaries in deep learning.

We'll cover the following...

Deep learning
Prepare Echidna dataset

1.How Machine Learning Works

2.Our First Learning Program

3.Walking the Gradient

4.Hyperspace

5.A Discern Machine

6.Get Real

7.The Final Challenge

8.The Perceptron

9.Designing the Network

10.Building the Network

11.Training the Network

12.How Classifiers Work

13.Batchin’ Up

14.The Zen of Testing

15.Let’s Do Development

16.A Deeper Kind of Network

Project

17.Defeating Overfitting

18.Taming Deep Networks

19.Beyond Vanilla Networks

20.Into the Deep

Project

Mock Interview

The Echidna Dataset

Deep learning