The Data Frog deep-learning


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.

Read More →


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.

Read More →


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.

Read More →


Sentiment Analysis with a deep convolutional network (yelp dataset part 3)

Sentiment analysis is an important application of natural language processing, as it makes it possible to predict what a person thinks given the text she has written. Let's do that with a deep convolutional network on the large yelp dataset.

Read More →


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.

Read More →


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.

Read More →


Install TensorFlow on Linux for Deep Learning

Got a Linux PC with an NVidia graphics card? Let's turn it into a deep learning workstation.

Read More →


Install Tensorflow on Windows for Deep Learning

Got a gamer PC lying around? Why not install TensorFlow to turn it into a deep learning workstation? This simple recipe will get you ready in ten minutes.

Read More →

  • 1