We've prepared a Jupyter notebook that will guide you through the process of creating a single layer neural network in TensorFlow.
Follow the set-up instruction for the Term 1 Starter Kit. Contained within are instructions for utilizing a Jupyter notebook within Docker; if you use Anaconda make sure to activate the environment first with
source activate {environment_name}
and then open the notebook with
jupyter notebook
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. If you have any difficulty completing the lab, Udacity provides a few services to answer any questions you might have.
Remember that you can get assistance from mentors and fellow students in Student Hub or in Knowledge. You can also review the concepts from the previous lessons.