FloydHub Blog

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

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,

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

Inspiration

Generating Six-Pack Abs With TensorFlow pix2pix

Visualizing results can be a powerful form of motivation and preparation. However, in the fitness domain, it can often be difficult to clearly see this future outcome. Can we use deep learning to

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

Announcement

Restart Jupyter Notebook Workflow

We snuck in a new feature that should make your Jupyter notebook workflow on FloydHub oh-so-much easier - the restart button. Now you can spin up a Jupyter notebook from the FloydHub web

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

Product

Should I buy my own GPUs for Deep Learning?

Deep learning algorithms involve huge amounts of matrix multiplications and other operations which can be massively parallelized. GPUs usually consist of thousands of cores which can speed up these operations by a huge

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

Announcement

Hello, README files

We're introducing a new feature to help you explore projects and share your work on FloydHub that you may already recognize - README files. Starting today, whenever you include a README file in

Announcement

Tensorboard on FloydHub

Tensorboard Tensorboard is a visualization tool that is packaged with Tensorflow. It is very useful for understanding and debugging Tensorflow projects.You can visualize your Tensorflow graph, plot quantitative metrics about the execution

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