Articles classification
An introduction to clustering
Learn how to use clustering to find categories in unlabeled datasets, with python and scikit-learn
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Image Recognition with Transfer Learning (98.5%)
Use transfer learning to easily classify dog and cat pictures with a 98.5% accuracy.
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Image Recognition: Dogs vs Cats! (92%)
Classify dog and cat pictures with a 92% accuracy with a deep convolutional neural network.
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Word Embedding and Sentiment Analysis (IMDB)
Word embedding is essential in natural language processing with deep learning. This technique allows the network to learn about the meaning of the words. In this post, we classify movie reviews in the IMDB dataset as positive or negative, and provide a visual illustration of embedding.
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Overfitting Illustrated
One of the most important issues in machine learning, illustrated in a small 2D classification problem.
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Logistic Regression vs Neural Network: Non Linearities
What are non-linearities and how hidden neural network layers handle them.
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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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The 1-Neuron Network: Logistic Regression
The most simple neural network. Learn how a neuron is working.
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First Neural Network with Keras
Keras is easy and powerful. Give it a try by training your first neural net to classify handwritten digits.
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Handwritten Digit Recognition with scikit-learn
Create a first simple neural network to classify handwritten digits.
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