menneau/lab-deep-learning

Lab | Neural Networks

Introduction

This lab will let you practice performing neural network analysis. It will also introduce you additional concepts in neural network analysis and Tensorflow. You will be introduced to a web tool called Tensorflow Playground with which you can play with and learn about the hyperparameters of Tensorflow.

Getting Started

Complete Challenge 1, 2, and Bonus (optional) in order. Follow the instructions and add your code and explanations as necessary.

Deliverables

• challenge-1.ipynb containing your responses.

• Screenshot of your Tensorflow Playground experiment for Challenge 2.

• [OPTIONAL] bonus.ipynb containing your responses.

Submission

Upon completion, add your deliverables to git. Then commit git and push your branch to the remote.

Resources

• Tic Tac Toe on Wikipedia

• Tic Tac Toe Endgame Dataset

• tf.keras.optimizers.Adam

• tf.keras.layers.Dense

• Tensorflow Playground

• Understanding Deep Learning with TensorFlow playground

• Neural Networks: Playground Exercises

• Tensorflow Playground GitHub Repo

• How to pick the best learning rate for your machine learning project

• Intro to Neural Nets Exercise by Google