This repo contains TensorFlow ipython notebooks for deep learning tutorial in 2017 Brains, Minds, and Machines summer course. The tutorial slides are available on Google Doc: https://goo.gl/hwZ497
This tutorial walks you through the basic symbolic operations in Tensorflow and a simple convolutional neural networks on MNIST dataset.
Some examples and snippets are courtesy of MIT 6.819/6.869 computer vision class.
Before you start, please install TensorFlow and Jupyter Notebook:
- TensorFlow (version 1.2): https://www.tensorflow.org/install/
- Jupyter Notebook: http://jupyter.readthedocs.io/en/latest/install.html
To use your TensorFlow virtualenv in Jupyter Notebook, you may need to follow the instruction here to set up ipykernel: