Tag: tutorial

Effective TensorFlow 2.0: A Guide for Best Practices and What’s Changed.

Read more here → https://t.co/XcDDPW1xX5 pic.twitter.com/XeHpAsgjdM

— TensorFlow (@TensorFlow) February 13, 2019

This article, attached notebook, and audio library, (from @johnhartquist) are really really great. Probably the most thoughtful and complete fastai integration I've seen outside the official library.

And apparently he's looking for a job... :) pic.twitter.com/Sg7vx15qo1

— Jeremy Howard (@jeremyphoward) February 5, 2019

The livestream 📺 for the #H2OWorld H2O-3 & #AutoML hands-on training is happening now! https://t.co/dlWshrZxLB

NLP demo: https://t.co/724AvZvyuS
AutoML demo: https://t.co/LzEUAgNzXO

— Erin LeDell (@ledell) February 4, 2019

How social scientists can use transfer learning to kickstart a deep learning project by @onyilam

Fantastic example of how (with a little help from https://t.co/GEOZuodrZj) social scientists can become deep learning practitioners & do ground-breaking work.https://t.co/2rKXbAkmAg

— Jeremy Howard (@jeremyphoward) February 4, 2019

Check out the new and first blog post by @lexfridman from @MIT on Deep Learning Basics with #TensorFlow, as part of the MIT Deep Learning series of courses, lectures, and tutorials.

Read the post here ↓ https://t.co/PHI74Rz8Ex

— TensorFlow (@TensorFlow) February 4, 2019

The Functional API is a good fit for multi-modal networks. Great new tutorial from @PyImageSearch! https://t.co/HItxXnxg1v

— François Chollet (@fchollet) February 4, 2019

"AllenNLP is a truly wonderful piece of software. ... There is a lack of appreciation for good coding standards in the data science community. AllenNLP is a nice exception to this rule"https://t.co/HFQvnnr9mv

— Joel Grus (@joelgrus) February 1, 2019

Have you ever wanted to see seven different Bayesian and frequentist ways to measure the avg difference between two groups? Check out my new post to see examples of standard #rstats t-tests, the infer package, brms regression, and raw @mcmc_stan code! https://t.co/U2sjL9nt6b pic.twitter.com/OgK1zsQXiY

— Andrew Heiss, PhD (@andrewheiss) January 29, 2019

Detecting street art in Instagram pictures: https://t.co/pIu9Ly9Jrj

— François Chollet (@fchollet) January 29, 2019

Learn how to build an ensemble network from multiple #TensorFlowHub modules using the AdaNet framework. In this post, @SRobTweets shows you how on Cloud ML Engine.

Read the post here ↓ https://t.co/oOMEKXRxYz

— TensorFlow (@TensorFlow) January 28, 2019

This is a cool Colaboratory notebook that shows how you can apply ML and NLP to the content of your own @feedly feeds.https://t.co/9RTmkiF539 pic.twitter.com/HqebWvl0AE

— Sebastian Ruder (@seb_ruder) January 28, 2019

VAEs! Generating images with Tensorflow by Miguel Méndez https://t.co/8sKAaI3Q9Y #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #tensorflow

— TensorFlow Best Practices (@TFBestPractices) January 26, 2019