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Best (and Free!!) Resources to Understand Nuts and Bolts of Deep Learning - KDnuggets
François Chollet on Twitter: "The state of the deep learning landscape: GitHub activity of major libraries over the past quarter (tickets, forks, and contributors). https://t.co/yliBWY30O6" / Twitter
PDF] Deep Learning with Dynamic Computation Graphs | Semantic Scholar
1701.03980] DyNet: The Dynamic Neural Network Toolkit
What are the top programming languages for machine learning?
Information | Free Full-Text | Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence | HTML
Top 10 Libraries In C/C++ For Machine Learning
GitHub Repositories & Reddit Discussion May 2018
Getting Started with Deep Learning - Silicon Valley Data Science
Intro to Dynamic Neural Networks and DyNet | by Petuum, Inc. | Medium
Top Open Source Tools for Deep Learning - RTInsights
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Top 5 Essential Prerequisites for Machine Learning - [ #Updated 2022]
Information | Free Full-Text | Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence | HTML
Getting Started with Deep Learning - Silicon Valley Data Science
A Friendly PyTorch Guide for Beginners! | by Gal Hever | Medium
1. Introduction to Deep Learning - TensorFlow for Deep Learning [Book]
15 Popular Machine Learning Frameworks for Model Training
Intro to Dynamic Neural Networks and DyNet | by Petuum, Inc. | Medium
Deep Learning in Mining Biological Data | SpringerLink
a) Model diagram of the dynamic neural networks (DyNet) in which the... | Download Scientific Diagram
Learning to Reason with Neural Module Networks – The Berkeley Artificial Intelligence Research Blog
Getting Started with Deep Learning - Silicon Valley Data Science