Deep Learning Weekly | Issue #73: Deep Learning in the Wild, Build your own AlphaZero, Batch Re-Normalization, Autonomous Driving Checklist

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Hey and welcome, we are back with an issue stock-full of goodies. First off, we just launched a serie
February 5 · Issue #73 · View online
Deep Learning Weekly
Hey and welcome,
we are back with an issue stock-full of goodies. First off, we just launched a series of interview on how companies are using deep learning to tackle real world problems™.
We learn how to serve a Keras model via REST endpoint, what batch re-normalization is about and how to build our own AlphaZero implementation.
This weeks sponsor is O'Reilly Media who will be hosting The AI Conference in April. Deep Learning Weekly subscribers can save 20% with the discount code DLWEEKLY20.

We’re proud to introduce a new blog on; Deep Learning in the Wild, where we interview companies and startups across industries to find out how deep learning is actually applied to tackle real-world problems:
i2x̅ - Conversation training and analysis
Lobster - Real-time stock photos
People + AI Research - Library - Google Design
Google is launching an AI research center in France and expanding its office
A Guide to Receptive Field Arithmetic for Convolutional Neural Networks
Annotating Large Datasets with the TensorFlow Object Detection API
A Refresher on Batch (re-)Normalization
Automatically Test Neural Network Models in one Function Call
Building a simple Keras + Deep Learning REST API
DeepMind: Learning Explanatory Rules from Noisy Data
How to build your own AlphaZero AI using Python and Keras
Libraries & Code
Google Developers Blog: Announcing TensorFlow 1.5
FAIR: Countering Adversarial Image using Input Transformations.
CakeChat: Emotional Generative Dialog System
Autonomous Driving Cookbook
Events & Conferences
The AI Conference is where cutting-edge science meets new business implementation. Presented by O'Reilly Media and Intel. Save 20% on most passes when you use the discount code DLWEEKLY20.
Machine Learning Conferences in 2018
Papers & Publications
Countering Adversarial Images using Input Transformations
tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow