This blog post, showed you how to build a recipe prediction model using Visual Studio Code Tools for AI using deep learning for Emojis. This provides a framework for agile experimentation with fast iterations and provides an easy path for scaling up and out to remote environments such as Data Science VMs with GPUs. [GitHub]

The new R 3.5.0 brings significant performance and memory improvements

We’ve all heard a lot about transfer learning on images. But what about transfer learning on text? This blog post explores different MRC models to help us do transfer Learning on text data.

Great post on building, and debugging, your deep learning model.

Dr. Geoff Gordon of explains why collaboration is essential to machine learning innovation.

Microsoft Translator has added new capabilities that allow users and developers to get artificial intelligence-powered translations whether or not they have access to the Internet.

Mike Lanzetta’s talk on social good at cloud scale using machine learning and deep learning.

Video’s of the sessions presented at AnacondaCON 2018.

Free draft copy of Andrew Ng’s book - Machine Learning Yearning! Book “is focused not on teaching you ML algorithms, but on how to make ML algorithms work. Some technical AI classes will give you a hammer; this book teaches you how to use the hammer” (Thanks Handre Williams for the recommendation)

The paper “Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network” and its source code is available here.

The paper “Toward Multimodal Image-to-Image Translation” and its source code is available here.

Course materials for geostatistics using Gaussian Processes.

This sample uses the popular TensorFlow machine learning library from Google to classify the ageless MNIST dataset of handwritten digits.

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos. This tool provides end to end support for generating datasets and validating object detection models from video and image assets.

Azure AI Predictive Maintenance (PdM) Solution Template.

This solution template provides a proof-of-concept (POC) implementation of an end to end PdM solution template for the scenario: Predict the probability that a piece of equipment fails within a future time period.

Introduction and links collection for Deep Learning.