Deprecated Repository

This repository is deprecated. Currently enrolled learners, if any, can:

• Utilize the https://knowledge.udacity.com/ forum to seek help on content-specific issues.
• Submit a support ticket if (learners are) blocked due to other reasons.

TensorFlow Neural Network Lab

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

Instructions

Make sure you have followed the instructions in the classroom to setup your environment.

Run the Notebook

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

$ git clone https://github.com/udacity/RoboND-NN-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 NN_lab.ipynb

Neural Networks Lab

The notebook has 3 problems for you to solve:

• Problem 1: Normalize the features
• Problem 2: Use TensorFlow operations to create features, labels, weight, and biases tensors
• Problem 3: Tune the learning rate, number of steps, and batch size for the best accuracy

This is a self-assessed lab. Compare your answers to the solutions here.