25 popular libraries and frameworks for building machine and deep learning applications.
Covering:
▫️ Data analysis and processing
▫️ Visualizations
▫️ Computer Vision
▫️ Natural Language Processing
▫️ Reinforcement Learning
▫️ Optimization
A mega-thread.
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(1 / 25) TensorFlow
TensorFlow is an end-to-end platform for machine learning. It has a comprehensive, flexible ecosystem of tools and libraries to build and deploy machine learning-powered applications.
(2 / 25) Keras
Keras is a highly-productive deep learning interface running on top of TensorFlow. It provides essential abstractions and building blocks for developing and shipping machine learning solutions with high iteration velocity.
I have not seen any proof that Twitter "kills your content" if you include links to your tweets.
Here is the result of a very unscientific experiment: comparing my top 10 tweets with and without links.
If you have something concrete, please let me know.
This is anecdotal evidence at best.
It doesn't prove that Twitter doesn't mess with your links, but it does suggest that —if anything is going on— it is much more subtle than what some believe.
I haven't found any documentation either.
This is what I do know:
Breaking the links that you add to your tweets is self-serving: it makes it worse for the people who follow you. They can't just click to get the content.
I can't see how this will make your content better in any way.