Deep Learning Transfer Learning with Keras and Deep Learningpyimagesearch.com - Adrian Rosebrock In this tutorial, you will learn how to perform transfer learning with Keras, Deep Learning, and Python on your own custom datasets.Imagine …
Weights & Biases - Image to Latexwandb.com Galileo, the father of modern science, said “the book of nature is written in the language of mathematics” and in modern times, mathematics is …
TensorFlow unveils MLIR for faster machine learning -techcentral.ie Sub-language project promises faster compilation and easier hardware optimisation for high-performance machine learning models. Engineers working on …
Machine Learning What is machine learning?MIT Technology Review - Karen Hao Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the …
UN General Assembly You can train an AI to fake UN speeches in just 13 hoursMIT Technology Review - Karen Hao Deep-learning techniques have made it easier and easier for anyone to forge convincing misinformation. But just how easy? Two researchers at Global …
Experts Predict When Artificial Intelligence Will Exceed Human PerformanceMIT Technology Review - Emerging Technology from the arXiv Trucking will be computerized long before surgery, computer scientists say. Artificial intelligence is changing the world and doing it at breakneck …
Media Industry The New York Times has a course to teach its reporters data skills, and now they’ve open-sourced itNieman Lab - Joshua BentonYou can now VLOOKUP the SUMPRODUCT of the Times’ training efforts. It’s SORT of a TREND; even AVERAGE journalists can CONVERT data skills TO_DOLLARS. “Should journalists learn to code?” is an old question
Deep Learning CNNs, Part 2: Training a Convolutional Neural Networkvictorzhou.com - Victor Zhou In this post, we’re going to do a deep-dive on something most introductions to Convolutional Neural Networks (CNNs) lack: how to train a CNN, …
Icon version of the Flipboard logoStanford University Stanford CoreNLPgithub.com - stanfordnlp Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms …
NVIDIA Unveils New Reinforcement Learning Research at ICRA 2019 - NVIDIA Developer News Centernvidia.com This week, NVIDIA researchers from the newly opened robotics research lab in Seattle, Washington are presenting a new proof of concept reinforcement …
Mobile Technology How to hide from the AI surveillance state with a color printoutMIT Technology Review - Will Knight AI-powered video technology is becoming ubiquitous, tracking our faces and bodies through stores, offices, and public spaces. In some countries the …
Icon version of the Flipboard logo StanfordNLP: A Python NLP Library for Many Human Languagesgithub.com - stanfordnlp The Stanford NLP Group's official Python NLP library. It contains packages for running our latest fully neural pipeline from the CoNLL 2018 Shared …
Icon version of the Flipboard logoMachine Learning Lil'Loglilianweng.github.io Meta-RL is meta-learning on reinforcement learning tasks. After trained over a distribution of tasks, the agent is able to solve a new task by …
RNN model (GRU) of word2vec to regression not learningstackoverflow.com - Bram Vanroy I am converting Keras code into PyTorch because I am more familiar with the latter than the former. However, I found that it is not learning (or only …
Algorithms of Reinforcement Learning: A new book by Csaba Szepesvariualberta.ca Algorithms for Reinforcement Learning, my sleek book was published by Morgan & Claypool in July 2010. Download the most recent version in pdf (last …
Quote Symbol …Ulrich Hoffmann https://www.seanmcwillie.com/2019/02/tutorial-machine-learning-data-set-preparation-part-5/
Icon version of the Flipboard logo Partnersgithub.com - pytorch Glow is a machine learning compiler and execution engine for hardware accelerators. It is designed to be used as a backend for high-level machine …
fastai v1 for PyTorch: Fast and accurate neural nets using modern best practicesfast.ai Note from Jeremy: Want to learn more? Listen to me discuss fastai with Sam Charrington in this in-depth interview. Today fast.ai is releasing v1 of a …
Horovodgithub.com - horovod Horovod is a distributed training framework for TensorFlow, Keras, PyTorch, and MXNet. The goal of Horovod is to make distributed Deep Learning fast …
Watch a Tesla drive in Paris through the eyes of AutopilotElectrek - Fred LambertTesla’s approach to autonomous driving is rather simple – albeit hard. It has some radar and ultrasonic sensor technology but the goal is to drive based on computer vision with cameras feeding into a net
Glow: A community-driven approach to AI infrastructurefb.com - Melissa Gunning Today, we are announcing the next steps in Facebook’s efforts to build a hardware ecosystem for machine learning (ML) through partner support of the …
Icon version of the Flipboard logoLearning DeepLearngithub.com - GauravBh1010tt Welcome to DeepLearn. This repository contains implementation of following research papers on NLP, CV, ML, and deep learning. Visit my blog for more …
Wendlandt et al on word embedding stability. Takeaway: glove is more stable than word2vec #naacl2018 https://t.co/KMLr6AOua9twitter.com
Real Or Fake? Robot Uses AI To Find Waldohackaday.com - by: Adam Fabio The last few weeks have seen a number of tech sites reporting on a robot which can find and point out Waldo in those “Where’s Waldo” books. Designed …
Reproducible machine learning with PyTorch and Quiltpaperspace.com - Aneesh Karve In this article, we'll train a PyTorch model to perform super-resolution imaging, a technique for gracefully upscaling images. We'll use the Quilt …
Icon version of the Flipboard logo How to update your scikit-learn code for 2018dataschool.io - Kevin Markham In 2015, I created a 4-hour video series called Introduction to machine learning in Python with scikit-learn. In the years since, hundreds of …
