Deep Learning Spinning Up a Pong AI With Deep Reinforcement Learning Dive into deep reinforcement learning by training a model to play the classic 1970s video game Pong — using Keras, FloydHub, and OpenAI's "Spinning Up."
Deep Learning Reading Minds with Deep Learning Explore the latest trends in Brain-Computer Interfaces - and train a deep learning model to predict what people are doing from fluctuations in their brain voltage readings.
Humans of Machine Learning Generating Classical Music with Neural Networks Christine McLeavey Payne may have finally cured songwriter's block. Her recent project Clara is a long short-term memory (LSTM) neural network that composes piano and chamber music. Just give Clara a taste of your magnum-opus-in-progress, and Clara will figure out what you should play next.
Inspiration Recognize relatives using deep learning Building a cousin image classification app using a convolutional neural net for your Thanksgiving family reunion using fast.ai and FloydHub.
Humans of Machine Learning Colorizing and Restoring Old Images with Deep Learning Jason Antic's DeOldify deep learning project not only colorizes images but also restores them with stunning results. Learn more about his approach in this FloydHub #humansofml interview.
Deep Learning Found in translation: Building a language translator from scratch with deep learning Build an English-French language translator from scratch using PyTorch.
Community How to code The Transformer in PyTorch Learn how to code a transformer model in PyTorch with an English-to-French language translation task
Deep Learning Practical guide to hyperparameters search for deep learning models Learn techniques for identifying the best hyperparameters for your deep learning projects, including code samples that you can use to get started on FloydHub.
Deep Learning Asking questions to images with deep learning: a visual-question-answering tutorial In this deep learning tutorial, we'll build Visual Question Answering (VQA) model that allows people to ask open-ended, common sense questions about the visual world.
Community Ten Techniques Learned From fast.ai Right now, Jeremy Howard – the co-founder of fast.ai – currently holds the 105th highest score for the plant seedling classification contest on Kaggle, but he's dropping fast. Why? His own students are beating him. And their names can now be found across the tops of leaderboards all over Kaggle.
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 Ready to build, train, and deploy AI? Get started with FloydHub's collaborative AI platform for free Try FloydHub for free This post will demonstrate how to checkpoint your training models on FloydHub so
Deep Learning Colorizing B&W Photos with Neural Networks I’ll show you how to build your own colorization neural net in three steps. The first section breaks down the core logic. We’ll build a bare-bones 40-line neural network as an “Alpha" colorization bot.
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 and GitHub to play around with.
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 humans in Atari games, and diagnoses cancer.
