Deep Learning
Neural Architecture Search Part 2: Search Space, Architecture Design and One-Shot Training
This tutorial covers a step-by-step walkthrough of coding neural architecture search for multilayer perceptrons in Python with Keras.
Fighting Coronavirus With AI, Part 1: Improving Testing with Deep Learning and Computer Vision
This post will cover how testing is done for the coronavirus, why it's important in battling the pandemic, and how deep learning tools for medical imaging can help us improve the quality of COVID-19 testing.
Neural Architecture Search Part 1: An Overview
With countless options to design neural networks, an effective architecture search algorithm would be game-changing. Here we look at the state of the art.
How AI And Deep Learning Are Shaping Education: An Interview With Terry Sejnowski
Terry Sejnowski talks to us about how artificial intelligence is shaping the future of education.
Working With The Lambda Layer in Keras
In this tutorial we'll cover how to use the Lambda layer in Keras to build, save, and load models which perform custom operations on your data.
Understanding GauGAN Part 4: Debugging Training & Deciding If GauGAN Is Right For You
In this post we cover how to tackle common training issues that may arise with GauGAN. We conclude with advice on whether GauGAN will fit your business needs or not.
Understanding GauGAN Part 3: Model Evaluation Techniques
In Part 3 of the GauGAN series we cover how to evaluate model performance, and how GauGAN compares to models like Pix2PixHD, SIMS, and CRN.
Image Compression Using Autoencoders in Keras
In this tutorial we cover a thorough introduction to autoencoders and how to use them for image compression in Keras.