Tutorial
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.
By
Anuj Sable
Using PoseNet To Create a Snapchat-Like Eye Filter for Android
Although PoseNet is most commonly applied to human pose estimation, in this tutorial we'll see how it can be used to make an eye filter for Android apps.
Implementing The Levenshtein Distance for Word Autocompletion and Autocorrection
This tutorial works through a step-by-step example of how to implement the Levenshtein distance in Python for word autocorrection and autocompletion.
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.
Understanding GauGAN Part 2: Training on Custom Datasets
In this article we cover how to train GauGAN on your own custom dataset. This is part of a series on Nvidia GauGANs.
Deploying Deep Learning Models Part 2: Hosting on Paperspace
In part two of deploying deep learning models, learn how to host on Paperspace.
By
Vihar Kurama
