In this tutorial, you will learn how to *automatically* find learning rates using Keras. This guide provides a Keras implementation of fast.ai’s popular “lr_find” method.

# Data Science

## Keras Learning Rate Finder pyimagesearch.com

## Portable Computer Vision: TensorFlow 2.0 on a Raspberry Pi towardsdatascience.com

For roughly $100 USD, you can add deep learning to an embedded system or your next internet-of-things project.

Are you just getting started with machine/deep learning, TensorFlow, or Raspberry Pi? Perfect, this blog series is for you!

But like in most cities, finding a parking space here is always frustrating. Spots get snapped up quickly and even if you have a dedicated parking space for yourself, it’s hard for friends to drop by since they can’t find a place to park.

My solution was to point a camera out the window and use deep learning to have my computer text me when a new parking spot opens up.

## Awesome Data Science with Python github.com

A curated list of awesome resources for practicing data science using Python, including not only libraries, but also links to tutorials, code snippets, blog posts and talks. So. Much. Python.

## PyTorch Sentiment Analysis github.com

Tutorials covering how to do sentiment analysis using PyTorch 1.0 and TorchText 0.3 using Python 3.7.

The first 2 tutorials will cover getting started with the de facto approach to sentiment analysis: recurrent neural networks (RNNs). The third notebook covers the FastText model and the final covers a convolutional neural network (CNN) model.