Inspiration Teaching My Robot With TensorFlow If you're like me, then you'd do pretty much anything to have your own R2-D2 or BB-8 robotic buddy. Just imagine the adorable adventures you'd have together! I'm delighted to report that the
Deep Learning Turning Design Mockups Into Code With Deep Learning Within three years deep learning will change front-end development. It will increase prototyping speed and lower the barrier for building software.
Deep Learning Benchmarking FloydHub instances This post compares all the CPU and GPU instances offered by FloydHub, so that you can choose the right instance type for your training job. Benchmark For our benchmark we decided to use
Deep Learning Checkpointing Tutorial for TensorFlow, Keras, and PyTorch This post will demonstrate how to checkpoint your training models on FloydHub so that you can resume your experiments from these saved states. Wait, but why? If you've ever played a video game,
Deep Learning Colorizing B&W Photos with Neural Networks Earlier this year, Amir Avni used neural networks to troll the subreddit /r/Colorization - a community where people colorize historical black and white images manually using Photoshop. They were astonished with Amir’
Deep Learning Building Your First ConvNet Convolutional Neural Networks (ConvNets) are increasingly popular, and for all the right reasons. ConvNets have the unique property of retaining translational invariance. In elaborative terms, they exploit spatially-local correlation by enforcing a local
Deep Learning Getting Started with Deep Learning on FloydHub This post is aimed at helping new users (especially the ones who are starting out & cannot afford Andrej Karpathy’s rig) setup an on-the-go deep learning solution for their small to medium
Deep Learning Coding the History of Deep Learning There are six snippets of code that made deep learning what it is today. This article covers the inventors and the background to their breakthroughs. Each story includes simple code samples on FloydHub
Deep Learning My First Weekend of Deep Learning The current wave of deep learning took off five years ago. Exponential progress in computing power followed by a few success stories created the hype. It’s the technology that drives cars, beats