High-Level APIs in TensorFlow 2.0

High-Level APIs in TensorFlow 2.0
High-Level APIs in TensorFlow 2.0

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Complete Guide to TensorFlow for Deep Learning with Python
http://learnstartup.net/p/BJT8gGKsb

Python for Data Science and Machine Learning Bootcamp
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Running TensorFlow on AWS Lambda using Serverless
http://tech.learn4startup.com/8e2de43d4c

Machine Learning Tutorial - Image Processing using Python, OpenCV, Keras and TensorFlow
http://tech.edupioneer.net/46f8f74b85

TensorFlow is dead, long live TensorFlow!
http://on.geeklearn.net/c80d7d9620

Introducing TensorFlow 2.0
http://on.edupioneer.net/cfa023d07d

TensorFlow’s high-level APIs help are there to help you through each stage of your model-building process. On this episode of TensorFlow Meets, Laurence (@lmoroney) talks with TensorFlow Engineering Manager Karmel Allison about how TF 2.0 will make building models much easier. They also discuss distribution strategies and how TensorFlow brings the performance and deployability of graph style code to eager execution.
Find out more about TensorFlow 2.0 → http://bit.ly/2UHFxR7
What’s coming in TensorFlow 2.0 → http://bit.ly/2IC5G2J

#TensorFlow #MachineLearning #API

Originally published at https://www.youtube.com/watch?v=pmsNVyrCh4A

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