Hi All, As i am new to this field, i wanted to build concetually and technically better as this field is slowly maturing and i would do tha same. So First thing, What is the Difference between

Try this : https://colab.research.google.com/notebooks/welcome.ipynb For GPU access Regards Vikas Sawant 9911027368

Welcome to the group, Get more details about the Acumos from links below 1. Welcome to Acumos Documentation! - http://acumos.readthedocs.io/en/latest/index.html 2. Acumos Wiki -

Hello, I want to be a part of this awesome group. Regards swechha jha

Following specialization is a very good starting point for Deep learning. Andrew Ng is one of the best in teaching ML/DL in Mooc courses. https://www.coursera.org/specializations/deep-learning

Great start is a Stanford course by Fei-Fei Li, et. al.: "Convolutional Neural Networks for Visual recognition" http://cs231n.stanford.edu/ Very rich materials including syllabus and video lectures

A great start is a Stanford course CS231n by Fei-Fei Li, et. al.: "Convolutional Neural Networks for Visual Recognition" http://cs231n.stanford.edu/ It has very rich materials available for free

1)Andrew Ng's coursera deeplearning specialisation takes bottom-up approach which means he explains things from scratch and builds things on the base concepts introduced. 2)Jeremy Howard's fast.ai

The initial project of LF Deep Learning is the Acumos AI Project (https://www.acumos.org/), a comprehensive platform for AI model discovery, development and sharing. The below two links seem to be

Welcome to Acumos Documentation! - http://acumos.readthedocs.io/en/latest/index.html Acumos Wiki - https://wiki.acumos.org/ Cheers, Donald

Am deep learning/Science enthusiast. What is the better way to get stated?