2020-04-30 Kim Martineau They showed that a deep neural network could perform with only one-tenth the number of connections if the right subnetwork was found early in training. Train the model, prune its weakest connections, retrain the model at…
2020-02-17 Martijn van Wezel The SNNs bio-inspired neural networks are different from conventional neural networks due that the conventional neural networks communicate with numbers. Instead, SNNs communicate through spikes. … Having multiple spikes in a short period can stimulate the…
2020-03-09 Katherine Harmon Courage In the February 20 issue of Cell, one team of scientists announced that they — and a powerful deep learning algorithm — had found a totally new antibiotic, one with an unconventional mechanism of action that…
2020-02-13 Tommy Thompson One of the biggest headlines in AI research for 2019 was the unveiling of AlphaStar – Google DeepMind’s project to create the worlds best player of Blizzard’s real-time strategy game StarCraft II. After shocking the world in…
2019-12 Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
2019-11-25 firmai / Derek Snow “A curated list of repositories with fully functional click-and-run colab notebooks with data, code and description. The code in these repositories are in Python unless otherwise stated.” Some of the Google Colaboratory Notebooks listed use…
2019-08-27 Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo When training a neural network to accomplish a given task, be it image classification or reinforcement learning, one typically refines a set of weights associated with…
2019-07 Jason Brownlee In this tutorial, you will discover how to create your first deep learning neural network model in Python using Keras.
2019-02-04 Karlijn Willems This Keras tutorial introduces you to deep learning in Python. (Keras is a neural network library for Python.)