Machine Learning Platform AWS Cost Optimization for ML Infrastructure - EC2 spend [Series] Based on his deep experience, FloydHub CTO Naren discusses how should companies think about & setup their ML infrastructure. This article focuses on AWS EC2 machines.
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.
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
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
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
Announcement Tensorboard on FloydHub Want to run Tensorboard on FloydHub?! No problem! We make it easy.
