First play with this online demo of pix2pix and then watch the video below explaining the academic paper attached to it.
Here’s a video from Google introducing the techniques you can use to represent features – including Bucketing, Crossing, Hashing, and Embedding – and other utilities TensorFlow uses to help you create features.
The video is worth a watch just for the walkthrough of using TensorFlow Estimators to classify structured data.
This video introduces Deep Learning with Microsoft Cognitive Toolkit (CNTK). The intended audience includes:
- Data scientists who are new to deep learning
- Machine learning scientists looking for advanced techniques
- Engineers looking for means to scale and leverage cloud computing in Azure
In this presentation, Nigel Markey explains the fundamentals of computer vision.
Two Minute Papers has a video highlighting the recent advances in 3D facial reconstruction.
Online demo: http://cvl-demos.cs.nott.ac.uk/vrn/
Source code: https://github.com/AaronJackson/vrn
Baidu’s Bryan Catanzaro presents “Deep Learning on GPU Clusters” and why GPUs are perfect for unlocking the power of AI.
Chanuki Seresinhe and Suzy Moat of The Turing Institute share their experience using Azure to measure aspects of the world that humans have been aware of, but have no data on.