FloydHub Blog

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.

How to become a FloydHub A.I. Writer

TLDR: Apply now, write insanely great tutorials, and get paid in GPU credit (or 💵)

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.

Humans of Machine Learning

Counting the Crowd at Shake Shack with Deep Learning

The FloydHub #humansofml interview with Dimitri Roche - a software engineer who built a Shake Shack crowd-counting CoreML app using deep learning and 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.

Humans of Machine Learning

Exploring Computational Creativity with Neural Networks

The FloydHub #humansofml interview with Kalai Ramea - a researcher at Palo Alto Research Center where she works on fundamental machine learning research involving computer vision, NLP, and big data analytics.

Humans of Machine Learning

Revolutionizing the Fashion Industry with Artificial Intelligence

The FloydHub #HumansOfML Interview with Leanne Luce -- designer, technologist, and author of the upcoming book "Artificial Intelligence for Fashion."

Product

5 advanced features that save you time on FloydHub

FloydHub has a lot of features that accelerate various stages of your ML workflow. In this post we are sharing the 5 most useful features and how to incorporate them in to your workflow.

Inspiration

Generating Commencement Speeches With Markov Chains

Generate your own commencement speeches using Markov chains in Python on FloydHub.

Inspiration

Automate FloydHub with Celery

Jelle Hoffman from Ubidots shows how he used Celery to automate their FloydHub api management

Announcement

Workspaces on FloydHub

Meet Workspaces 👋- a new cloud IDE for deep learning, powered by FloydHub GPUs

Product

Metrics on FloydHub

At FloydHub we offer cutting edge infrastructure for training your machine learning projects. These are highly tuned instances in the cloud that come pre-installed with the frameworks of your choice. With the machines

Product

FloydHub for Teams

We're launching a Teams plan on FloydHub today. You can now have a secure, centralized hub for your entire data science team's model development, training, and deployment pipeline, along with roles-based permissions, consolidated billing, and even more collaboration magic.

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

Product

Creating Datasets from Public URLs

We're trying to make it easier to discover and use interesting datasets on FloydHub. To that end, we just released an improved file-viewer to help you dig in and explore data directly on

Subscribe to FloydHub Blog