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Deep learning

Deep Learning is an artificial neural network composed of many layers.
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Python github.com

GIPHY's celebrity-detecting deep learning model 🕵️‍♀️

GIPHY is proud to release our custom machine learning model that is able to discern over 2,300 celebrity faces with 98% accuracy. The model was trained to identify the most popular celebs on GIPHY, and can identify and make predictions for multiple faces across a sequence of images, like GIFs and videos. Give it a try on the demo page or download the model yourself and follow along with the examples.

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Zhedong Zheng github.com

A tiny, friendly, strong baseline for person re-identification

Person re-identification (re-ID) can be viewed as an image retrieval problem. The emergence of this task can be attributed to 1) the increasing demand of public safety and 2) the widespread large camera networks in theme parks, university campuses and streets, etc. Both causes make it extremely expensive to rely solely on brute-force human labor to accurately and efficiently spot a person-of-interest or to track a person across cameras. Based on PyTorch.

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Python github.com

The Hitchiker's Guide to PyTorch

PyTorch is a flexible deep learning framework that allows automatic differentiation through dynamic neural networks (i.e., networks that utilise dynamic control flow like if statements and while loops). It supports GPU acceleration, distributed training, various optimisations, and plenty more neat features. These are some notes on how I think about using PyTorch, and don’t encompass all parts of the library or every best practice, but may be helpful to others.

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link Icon blog.floydhub.com

Turning Design Mockups Into Code With Deep Learning

How do you you teach a neural network to code? One screenshot with matching HTML at a time. 😂 Within three years deep learning will change front-end development. It will increase prototyping speed and lower the barrier for building software. The field took off last year when Tony Beltramelli introduced the pix2code paper and Airbnb launched sketch2code. Currently, the largest barrier to automating front-end development is computing power.

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