Skip to content

Robotics Nanodegree image classification exercise using convolutional neural networks

Notifications You must be signed in to change notification settings

flores-jacob/CNN_lab

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TensorFlow Convolutional Neural Network Lab

Fashion-MNIST dataset samples

We've prepared a Jupyter notebook that will guide you through the process of creating a convolutional neural network in TensorFlow.

Instructions

Make sure you have followed the instructions in the classroom to setup your environment. You can also utilize the AWS GPU instances for this lab, although you can manage quite well with just a CPU. The instructions for AWS can be found [here].

Run the Notebook

Run the following commands from the same directory as the commands above.

$ git clone https://github.com/udacity/RoboND-CNN-Lab.git
$ activate RoboND
$ jupyter notebook

The above will open the jupyter interface in your browser from where you can access the Lab folder and the jupyter notebook CNN_lab.ipynb

This is a self-assessed lab. Feel free to compare your results and discuss on improvements with your fellow students in the Slack!

About

Robotics Nanodegree image classification exercise using convolutional neural networks

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published