From b6b5bd0abadce8eda7a05015b72cf35d69a06642 Mon Sep 17 00:00:00 2001 From: sseidl88 Date: Tue, 15 Aug 2017 00:38:49 -0500 Subject: [PATCH] Update README.md --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 007fbf4..6ba25aa 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,12 @@ # How-to-Use-Tensorflow-for-Time-Series-Live -##Overview +## Overview This is the code for [this](https://youtu.be/ftMq5ps503w) video on Youtube by Siraj Raval part of the Udacity Deep Learning nanodegree. We use a [Recurrent neural network](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/) to learn the mapping between two binary sequences. We'll learn how memory operates in a recurrent net in this notebook. -##Dependencies +## Dependencies * tensorflow * matplotlib @@ -14,11 +14,11 @@ to learn the mapping between two binary sequences. We'll learn how memory operat install dependencies with [pip](https://pip.pypa.io/en/stable/) -##Usage +## Usage Run this using [jupyter notebook](http://jupyter.readthedocs.io/en/latest/install.html). Just type `jupyter notebook` in the main directory and the code will pop up in a browser window. -##Credits +## Credits Credits go to [3h4](https://github.com/3h4). I've merely created a wrapper to get people started.