Sharing some of the latest research, announcements, and resources on deep learning. By Isaac Madan ( email ) Continuing our series of deep learning updates, we pulled together some of the awesome resources that have emerged since our last post. In case you missed it, you can find all past updates . As always, this list is not comprehensive, so if there’s something we should add, or if you’re interested in discussing this area further. here let us know Research & Announcements by Silver of DeepMind. AlphaGo implementation that requires no prior knowledge — the system teaches itself. Original paper . Mastering the game of Go without human knowledge et al Here we introduce an algorithm based solely on reinforcement learning, without human data, guidance or domain knowledge beyond game rules. AlphaGo becomes its own teacher: a neural network is trained to predict AlphaGo’s own move selections and also the winner of AlphaGo’s games. here Microsoft and Amazon take on Google’s TensorFlow and Facebook’s PyTorch with their own new open source deep learning library. Introducing Gluon: a new library for machine learning from AWS and Microsoft . Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components. GANs to generate garment photos for e-commerce. (company website ). Artificial intelligence can say yes to the dress . Online fashion tech startup Vue.ai is selling technology that analyzes pieces of clothing and automatically generates an image of the garment on a person of any size, shape, or wearing any kind of shoes here by AWS. This addresses some of the problems that arise when working across a number of AI frameworks and underlying hardware architectures. Introducing NNVM Compiler: A New Open End-to-End Compiler for AI Frameworks We introduce the NNVM compiler, which compiles a high-level computation graph into optimized machine codes. by Naveen Rao. Intel announces a new family of processors designed specifically for artificial intelligence. Intel® Nervana™ Neural Network Processors (NNP) Redefine AI Silicon Resources, Tutorials & Data by Wang of NIH. Researchers release medical data set for machine learning. Original paper . Data set available on Box . ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases et al The NIH Clinical Center recently released over 100,000 anonymized chest x-ray images and their corresponding data to the scientific community. NIH compiled the dataset of scans from more than 30,000 patients, including many with advanced lung disease. here here by Sophia Ciocca. Explanation of machine learning approach to personalized music recommendations. Spotify’s Discover Weekly: How machine learning finds your new music by Justin Francis of University of Alberta. Visualizing convolutional neural networks Building convnets from scratch with TensorFlow and TensorBoard. by 3Blue1Brown. Digestable explanation of how gradient descent works (Youtube video). Gradient descent, how neural networks learn by Ilya Sutskever and Dario Amodei of OpenAI. Discussing how to perform AI safe research. Protecting Against AI’s Existential Threat How do you create AI that doesn’t pose a threat to humanity? By teaching it to work with humans. New chatbot backed by Andrew Ng focused on interactive behavioral therapy to improve mental health. Andrew Ng Has a Chatbot That Can Help with Depression . By . Isaac is an investor at Venrock ( ). If you’re interested in deep learning or there are resources I should share in a future newsletter, I’d love to hear from you. If you’re a machine learning practitioner or student, join our Talent Network to get exposed to awesome ML opportunities. Isaac Madan email here is a newsletter of entrepreneurial ideas & perspectives by investors, operators, and influencers. Requests for Startups ** **❤” Please tap or click “︎ to help to promote this piece to others.
