This Week in Hadoop and More: Deep and Machine Learning Tools, Tips, and Projects
From visualizing your Deep Learning in TensorBoard for PyTorch to Deep Learning in 4J Model Zoo, there's a lot to learn in the world of Big Data this week.
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There's a lot going on in the world of Big Data, Deep Learning, and Machine Learning this week. Personally, I am working with Vamsi on some awesome content for an upcoming DZone item. I'm also preparing for Oracle Code New York, where I will be doing a talk on NiFi, Deep Learning, Machine Learning, NLTK, streaming, IoT, and Java microservices. Not sure how I will cram that into 45 minutes at 5 p.m. with a hands-on demonstration — I think I will need compression. If you are at that event in two weeks, come say hi! Mention the secret password, "DZone," and get a free sticker.
This Week's Must-Downloads
Visualizing your Deep Learning in TensorBoard for PyTorch and others with Python interfaces (GitHub).
Running Keras in Production With Deep Learning 4J (GitHub): Deep Learning, JVM, Python, and containers. Check out the source for yourself in Using Python With Keras Intro of Deep Learning 4J (on top of Hortonworks HDP).
Model Zoos — Gotta Grab 'Em All!
TensorFlow Models: I have used Inception and Syntaxnet from here.
Pytorch Vision: Models, Data Loaders, and More: This is cool.
This Week's Must-Read
Face Recognition in Python: A must-have for Terminator robot projects.
TensorFlow and on Hadoop.
I am hoping by the end of the month to detail my progress on my self-driving Raspberry Pi car, Raspberry Pi Deep Learning, Spark, Hadoop Cluster, and wrap-up from the Code NYC talk.
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