Now that it's archived, it really seems a shame that the great work that went into Swift for Tensorflow didn't go into Julia instead: https://t.co/APzeNEXuzz
— John Myles White (@johnmyleswhite) February 12, 2021
Now that it's archived, it really seems a shame that the great work that went into Swift for Tensorflow didn't go into Julia instead: https://t.co/APzeNEXuzz
— John Myles White (@johnmyleswhite) February 12, 2021
If you're building recommender systems, I recommend checking out TFRS: https://t.co/vdOudcXmqH
— François Chollet (@fchollet) February 8, 2021
New code walkthrough on https://t.co/m6mT8SrKDD: image search with natural language queries using a dual-encoder approach. The idea is to learn a joint embedding space for images and associated captions (inspired by OpenAI CLIP).https://t.co/fWHsv18QuL
— François Chollet (@fchollet) January 26, 2021
It's crazy what developers can create with TensorFlow.js nowadays 😯 https://t.co/waOZDhrG9x
— François Chollet (@fchollet) January 21, 2021
New code walkthrough on https://t.co/m6mT8SrKDD: the Vision Transformer model. Perform image classification *without convolutions* by applying a Transformer to vector encodings of image patches. Created by Khalid Salama.https://t.co/EanhDyZpa5
— François Chollet (@fchollet) January 19, 2021
Here's a boatload of model implementations for Deep Learning on Graphs https://t.co/KZVJ6wz76A @GraphDeep https://t.co/Ne2v3rNguI
— Alex Smola (@smolix) January 8, 2021
Currently toying around with *gradient checkpointing* to fit some of my larger DL models into VRAM. Such a simple an neat trick for more memory-efficient backpropagation. Great article here: https://t.co/yeHWZiSYYw. There's also a PyTorch implementation: https://t.co/uXz7C5vCdM pic.twitter.com/KM7wIOeEvb
— Sebastian Raschka (@rasbt) December 22, 2020
Well-written blog post on doing neuroevolution with Keras and PyGAD: https://t.co/q5Uxeo8Lgm
— François Chollet (@fchollet) December 8, 2020
Our integration between TensorFlow Cloud and Kaggle notebooks has landed!
— François Chollet (@fchollet) December 4, 2020
Check it out: https://t.co/FL6VvmgKQ0
TensorFlow Cloud is an API for turning TF/Keras scripts & notebooks into distributed training jobs in the Cloud in one line. pic.twitter.com/smAk19cUAW
Released 0.1 tensor-sensor via pip, now supports JAX from @froystig, @SingularMattrix, @cdleary, et al at @GoogleAI in addition to @TensorFlow, @PyTorch, @numpy. TensorSensor clarifies exceptions by augmenting messages + visualizing Python code to indicate shape of tensor vars. pic.twitter.com/ckuB9F2bFT
— Terence Parr (@the_antlr_guy) December 3, 2020
If you missed it yesterday, check out the new tutorial on 🤖 supervised contrastive learning 🤖 on https://t.co/m6mT8SrKDD: https://t.co/VxEKjI5uNr
— François Chollet (@fchollet) December 3, 2020
What are these? 🌉🗽
— TensorFlow (@TensorFlow) October 28, 2020
#TFHub can help you classify famous sights with a great set of landmark detection models readily available for every continent.
Model collection → https://t.co/4c8WkMiT8N pic.twitter.com/mqOij6zBKW