Daily Newsletter — 27th December 2020
An Autograd library for Javascript, adding AI to your career and a Deep Learning Computer Vision Library in today’s Data Science Daily 📰

AI+X: Adding AI to your Career 🤖

AI may be the most trending career choice right now and we see many professionals and students looking to transition to or start a career in it. But rather than abandoning your current career track to become a data scientist or a machine learning engineer, consider developing AI skills to complement your existing subject matter expertise.

AI+X individuals can hit the ground running, enabling companies to tackle new business opportunities more rapidly. Training a biotech engineer in AI could take months, but training an AI practitioner to understand biotechnologies could take years before meaningful output. A subject matter expert who comes with, or can develop AI skills is a much better investment.

Read more in the article below by Kian Katanforoosh

Article: https://kiankatan.medium.com/ai-x-dont-switch-careers-add-ai-34eff21dd3e1

deepnet.js — Autograd library for Javascript ⚡

deepnet.js is an auto-differentiation library for javascript. it will dynamically build a computational graph while doing the math operations and compute the gradients during the backward pass.

Autograd (Automatic Differentiation) is a technique which uses a computational graph to compute derivatives automatically. In its forward phase it is used to execute the math operation and constructs the computational graph, and In the backward phase, the derivatives are computed automatically.

GitHub: https://github.com/karthiTox/deepnet.js

Glasses: Deep Learning Computer Vision Library 😎

Here’s a compact, concise and customizable deep learning computer vision library by Francesco Saverio Zuppichini

Features

human-readable code, no research code

common components are shared across models

same APIs for all models (you learn them once and they are always the same)

clear and easy to use model customization (see here)

classification and segmentation

Website: https://francescosaveriozuppichini.github.io/glasses-webapp/

Doc: https://francescosaveriozuppichini.github.io/glasses/index.html

GitHub: https://github.com/FrancescoSaverioZuppichini/glasses

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['Hemanth Janesh']
['Newsletter', 'Data Science', 'Deep Learning', 'Artificial Intelligence', 'Machine Learning']