Give future you a break. Architecture decision records, also known as ADRs, are a great way to document how and why a decision was reached within a codebase. https://t.co/qS3ViTXsOu
— GitHub (@github) August 13, 2020
Give future you a break. Architecture decision records, also known as ADRs, are a great way to document how and why a decision was reached within a codebase. https://t.co/qS3ViTXsOu
— GitHub (@github) August 13, 2020
Interested in Anomaly Detection? Check out these two new tutorials on https://t.co/BsLdHu4PY2 and https://t.co/p6td0W4YwW:https://t.co/KLulbhmqCVhttps://t.co/cr8hkKiAre
— Josh Gordon (@random_forests) August 13, 2020
The TF tutorial is inspired by this truly excellent interactive demo by @vykthurhttps://t.co/bIdWihKkVX pic.twitter.com/Svx0PhXhRX
Ever wondered how to do machine learning on sets? Here's a fresh blog post on the topic, enjoy! https://t.co/VY2iAc5CbB pic.twitter.com/om8BIEp67D
— Adam Kosiorek (@arkosiorek) August 12, 2020
New code example on https://t.co/m6mT8SrKDD, created by Amy: pneumonia x-ray slides classification, using TPUs https://t.co/v8W8q8YjRz
— François Chollet (@fchollet) August 11, 2020
Yet another amazing way to do streaming in #python! @stumpy_dev is an amazing time series library and has first class @nvidia #GPU support. https://t.co/GbDqLOAaHF great work @seanmylaw! pic.twitter.com/jEzjaWQpIi
— Joshua Patterson (@datametrician) August 9, 2020
✨🙌 Learn how to use https://t.co/Fv77gxVyzu, #Keras Preprocessing Layers, & tf.distribute to build a data input pipeline in @TensorFlow 2.3!
— 👩💻 DynamicWebPaige @ 127.0.0.1 🏠 (@DynamicWebPaige) August 3, 2020
This is the latest in a series of healthcare and bioinformatics notebooks from our TF+@Kaggle intern, Amy Jang.https://t.co/zqNLiXbxBz pic.twitter.com/KLPA6XzKHz
ML imitates art 🎨⚡️
— TensorFlow (@TensorFlow) July 30, 2020
In this tutorial, we’ll go over GANs and learn how to use DCGANs to create Romantic Period art using TensorFlow and Keras.
Start creating → https://t.co/dOiRjyHQFS pic.twitter.com/eEJjkhwUeq
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
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