A visual proof that sin(α+β)=cos(α)sin(β)+cos(β)sin(α) pic.twitter.com/Q23847Rfs3
— Fermat's Library (@fermatslibrary) July 30, 2020
A visual proof that sin(α+β)=cos(α)sin(β)+cos(β)sin(α) pic.twitter.com/Q23847Rfs3
— Fermat's Library (@fermatslibrary) July 30, 2020
I wrote a blog post on a cute lil' @rstudio use case we found at @Brightloom. If you have a person who wants to write SQL queries on csv files but doesn't want to maintain a SQL database, it turns out RStudio is really good for this.https://t.co/B1YpUdGzri
— Jacqueline Nolis (@skyetetra) July 29, 2020
Creating a visual analogy system requires understanding deep image retrieval. Researcher @mhamilton723 shows how mapping a query image into deep feature space and using conditional nearest neighbors uncovers exciting artwork pairs on July 30. Register now: https://t.co/BvukdYtsEf
— Microsoft Research (@MSFTResearch) July 28, 2020
Good post on the use of BPE (byte pair encodings) for I/O of language models, pointing out subtle under-the-hood detail with unintuitive repercussions https://t.co/vZ5R5lqteP e.g. hello,Hello,HELLO all tokenize completely differently, and possibly also of different # tokens each
— Andrej Karpathy (@karpathy) July 28, 2020
Containerized Python Development - Part 2 via @Docker https://t.co/CX34NCWEDO #Python #Docker pic.twitter.com/q8dAjWveQh
— Python Weekly (@PythonWeekly) July 28, 2020
Check out the new advanced time series forecasting tutorial (thanks @DaoustMj!)
— Josh Gordon (@random_forests) July 28, 2020
Demonstrates a variety of
- Models (CNNs, RNNs, residual)
- Scenarios (single-step, multistep, autoregressive)
- Feature engineeringhttps://t.co/CiZ3MGtlld pic.twitter.com/4cHkMtfsey
Guide to Keras preprocessing layers. Create end-to-end models capable of directly handling raw text, images, and structured data. Less worry about training/serving skewhttps://t.co/UjVTfIAKgW
— François Chollet (@fchollet) July 27, 2020
AdaBoost https://t.co/eZ2bbpDzwV pic.twitter.com/kH9tAz1koB
— Chris Albon (@chrisalbon) July 27, 2020
This tutorial from @andronovhopf on MLOps using GitHub Actions looks really promising. One of the cleanest APIs I have seen so far https://t.co/C4ugdwr15K
— Hamel Husain (@HamelHusain) July 26, 2020
I published a guide to Keras preprocessing layers -- key new feature of the TensorFlow 2.3 release https://t.co/UjVTfIAKgW pic.twitter.com/CvQoHYf9rS
— François Chollet (@fchollet) July 25, 2020
Accelerating TF Lite 🏁⚡️
— TensorFlow (@TensorFlow) July 24, 2020
See how integration of the XNNPACK library with TensorFlow Lite improves neural network inference performance by 2.3X on average.
Learn more ↓ https://t.co/kWb9i5EgZd
A great blog post about some of the work my team is @nvidia is doing in the RecSys space building off of the amazing @rapidsai ecosystem. https://t.co/TxIkGqcZnl
— Even Oldridge (@Even_Oldridge) July 23, 2020