Deep Learning

Xnor AI2GO

AI on any device. Hundreds of Deep Learning Models Tuned for Popular Use Cases and Devices. An easy guide for anyone who wants to learn the Xnor SDK.

Source: ai2go.xnor.ai

Xnor AI2GO

RAPIDS: A Data Science & Analytics Pipeline Accelerator

The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. RAPIDS is incubated by NVIDIA® based on years of accelerated data science experience. RAPIDS relies on NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.

Source: rapids.ai/

RAPIDS: A Data Science & Analytics Pipeline Accelerator

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.

Source: blog.floydhub.com/asking-questions-to-images-with-deep-learning/

Asking questions to images with deep learning: a visual-question-answering tutorial

Building an English-French language translator neural network from scratch with deep learning.

Source: blog.floydhub.com/language-translator/

Found in translation: Building a language translator from scratch with deep learning

Colorizing and Restoring Old Images with Deep Learning

Colorizing black and white images with deep learning has become an impressive showcase for the real-world application of neural networks in our lives. Jason Antic decided to push the state-of-the-art in colorization with neural networks a step further. His recent DeOldify deep learning project not only colorizes images but also restores them

Source: blog.floydhub.com/colorizing-and-restoring-old-images-with-deep-learning/

Colorizing and Restoring Old Images with Deep Learning

Reading Minds with Deep Learning – FloydHub Blog

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. The idea behind this magic is actually quite simple. You gently enact the finger motions you would do when playing a game, meanwhile a bracelet on your wrist records the nervous signals and translates them into their corresponding actions.

Source: blog.floydhub.com/reading-minds-with-deep-learning/

Reading Minds with Deep Learning

Haggis, Not Haggis: Build a haggis-detection app with TensorFlow and FloydHub

Use TensorFlow to build your own haggis-hunting app for Burns Night! The Scottish quest for the mythical wild haggis just got easier with deep learning.

Source: blog.floydhub.com/haggis-not-haggis/

Haggis, Not Haggis: Build a haggis-detection app with TensorFlow and FloydHub