Latest Resources in Machine Learning

Machine Learning

Fine-tuning with Keras and Deep Learning pyimagesearch.com

Published June 10, 2019 under Machine Learning

In this tutorial, you will learn how to perform fine-tuning with Keras and Deep Learning.

We will take a CNN pre-trained on the ImageNet dataset and fine-tune it to perform image classification and recognize classes it was never trained on.

Today is the final post in our three-part series on fine-tuning:

Part #1: Transfer learning with Keras and Deep Learning
Part #2: Feature extraction with on large datasets with Keras and Deep Learning
Part #3: Fine-tuning with Keras and Deep Learning (today’s post)

CNNs, Part 2: Training a Convolutional Neural Network victorzhou.com

Published June 10, 2019 under Machine Learning

In this post, we’re going to do a deep-dive on something most introductions to Convolutional Neural Networks (CNNs) lack: how to train a CNN, including deriving gradients, implementing backprop from scratch (using only numpy), and ultimately building a full training pipeline!

Image Recognition in Python with TensorFlow and Keras

Published June 3, 2019 under Machine Learning

One of the most common utilizations of TensorFlow and Keras is the recognition/classification of images. If you want to learn how to use Keras to classify or recognize images, this article will teach you how.

Text Analysis in Python to Test a Hypothesis dataquest.io

Published June 3, 2019 under Machine Learning

People often complain about important subjects being covered too little in the news. One such subject is climate change. The scientific consensus is that this is an important problem, and it stands to reason that the more people are aware of it, the better our chances may be of solving it. But how can we assess how widely covered climate change is by various media outlets? We can use Python to do some text analysis!

Understanding PyTorch with an example: a step-by-step tutorial towardsdatascience.com

Published May 15, 2019 under Machine Learning

PyTorch is the fastest growing Deep Learning framework and it is also used by Fast.ai in its MOOC, Deep Learning for Coders and its library. PyTorch is also very pythonic, meaning, it feels more natural to use it if you already are a Python developer.

OpenCV-Python Cheat Sheet: From Importing Images to Face Detection fritz.ai

Published April 21, 2019 under Machine Learning

Cropping, Resizing, Rotating, Thresholding, Blurring, Drawing & Writing on an image, Face Detection & Contouring to detect objects. All Explained.

How to Automate Tasks on GitHub With Machine Learning for Fun and Profit towardsdatascience.com

Published April 19, 2019 under Machine Learning

A tutorial on how to build a GitHub App that predicts and applies issue labels using Tensorflow and public datasets.

PyTorch Sentiment Analysis github.com

Published April 19, 2019 under Machine Learning

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.