The Data Frog vision

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Image Recognition with Transfer Learning (98.5%)

Learn how to use transfer learning to easily classify dog and cat pictures with a 98.5% accuracy. Notebook ready to run on your machine.

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Image Recognition: Dogs vs Cats! (92%)

Learn how to build a deep convolutional neural network from scratch to classify dog and cat pictures with a 92% accuracy, without transfer learning. Notebook ready to run on your machine.

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Real-time Human Detection with OpenCV

Let's use the HOG algorithm implemented in OpenCV to detect people in real time in a video stream!

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Object detection with darknet

Object detection and identification is a major application of machine learning. Today, we're going to install darknet, which makes these tasks very easy.

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Tuning a Deep Convolutional Network for Image Recognition, with keras and TensorFlow

You would like to try deep learning but don't have a GPU? Or you don't want to install software on your computer? This tutorial is for you, as it requires no specific hardware or software.

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First Neural Network with Keras

Keras is the easiest and most powerful way to deal with neural networks in python. Give it a try by training your first neural net to classify handwritten digits

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Handwritten Digit Recognition with scikit-learn

In this tutorial, we apply supervised machine learning to train a neural network to classify images of handwritten digits into the following categories: 0, 1, 2, ... , 9. If you're just getting started with machine learning, this image recognition tutorial is for you!

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