Pro-Logic

Great collections of Data Science learning materials

The list includes free books and online courses on range of DS-related disciplines

Notable researchers, papers and even datasets. It is a great place to start reviewing your knowledge or learning something new.

Link: https://hackmd.io/VASaLIb1Quunia9Nva7gpA

HackMD - Collaborative markdown notes

TensorFlow 2.0.0

Release 2.0.0 - Major Features and Improvements

https://github.com/tensorflow/tensorflow/releases

https://medium.com/tensorflow/tensorflow-2-0-is-now-available-57d706c2a9ab

TensorFlow 2.0 focuses on simplicity and ease of use, featuring updates like:

- Easy model building with Keras and eager ex*****on.
- Robust model deployment in production on any platform.
- Powerful experimentation for research.
- API simplification by reducing duplication and removing deprecated endpoints.

For details on best practices with 2.0, see the Effective 2.0 guide - https://www.tensorflow.org/guide/effective_tf2

tensorflow/tensorflow An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow

A step-by-step guide on how to learn Computer Vision, Deep Learning, and OpenCV by pyimagesearch - Adrian Rosebrock

https://www.pyimagesearch.com/start-here/

Inside the guide you'll find step-by-step, easy to follow instructions on:

Getting started with OpenCV
Deep Learning (Keras and TensorFlow)
Face applications (including face detection, facial landmarks, and face recognition)
Optical Character Recognition (OCR)
Object detection (SSDs, YOLO, etc.)
Object tracking
Instance segmentation (Mask R-CNNs)
CV and DL on embedded/IoT devices (RPi, Movidius NCS Google Coral, Jetson Nano)
Medical Computer Vision..and much more!

Start Here with Computer Vision, Deep Learning, and OpenCV - PyImageSearch