Blog

Creating Datasets from Public URLs on FloydHub

Charlie Harrington on November 3, 2017

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 FloydHub. For example, here's one of my favorite pups from…

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Generating Six-Pack Abs With TensorFlow pix2pix

Ray Heberer on October 18, 2017

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 bring people closer to their individual fitness goals…

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Colorizing B&W Photos with Neural Networks

Emil Wallner on October 13, 2017

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’s deep learning bot - what…

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Building Your First ConvNet

Somin Wadhwa on October 4, 2017

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…

Restart Jupyter Notebook Workflow on FloydHub

Charlie Harrington on September 27, 2017

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 dashboard in one click. Just head on over to one of your…

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Getting Started with Deep Learning on FloydHub

Somin Wadhwa on September 21, 2017

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 sized projects. I’ll be covering the following - Getting…

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Coding the History of DL

Emil Wallner on September 20, 2017

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. To run…

Should I buy my own GPUs?

Naren Thiagarajan on September 19, 2017

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 factor and reduce training time…

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My First Weekend of DL

Emil Wallner on September 14, 2017

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. When I…

Hello, README files

Charlie Harrington on September 6, 2017

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 your project's code directory, FloydHub will detect and…

Tensorboard on FloydHub

Naren Thiagarajan on September 5, 2017

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 of your…