OpenAI’s GPT-2: A Simple Guide to Build the World’s Most Advanced Text Generator in Python
Overview Learn how to build your own text generator in Python using OpenAI’s GPT-2 framework GPT-2 is a state-of-the-art NLP framework – a truly …
neural networks
8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More!
Overview Using data science algorithms to generate art and music? These 8 AI projects will blow your mind Tap into your creative and artistic …
Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule
Introduction I love reading and decoding machine learning research papers. There is so much incredible information to parse through – a goldmine for us …
A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization
Introduction “How did your neural network produce this result?” This question has sent many data scientists into a tizzy. It’s easy to explain how …
DataHack Radio #15: Exploring the Applications & Potential of Reinforcement Learning with Xander Steenbrugge
Introduction “If intelligence was a cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the …
An Introductory Guide to Deep Learning and Neural Networks (Notes from deeplearning.ai Course #1)
This is a comprehensive introduction to the world of deep learning and neural networks. These are essentially course notes from deeplearning.ai’s course #1.
Heroes of Deep Learning: Top Takeaways for Aspiring Data Scientists from Andrew Ng’s Interview Series
This article lists down the key takeaways for data scientists from Andrew Ng’s inspirational interview series with seven heroes of deep learning.
Perform Automated Machine Learning for Free with Microsoft’s Open Source Python Toolkit
Microsoft has open sourced a toolkit for automated machine learning called Neural Network Intelligence (NNI). It works with Python 3.5 or greater.
Rosetta – How Facebook uses Machine Learning to Process Text in Billions of Images
Facebook’s researchers have revealed how they use ML to process text from billions of images each day to provide an enriching user experience.
MIT Open Sources Computer Vision Model that Teaches Itself Object Detection in 45 Minutes (with GitHub codes)
MIT Researchers have developed a machine learning model that uses computer vision techniques to detect, and pick up objects in under an hour.
