Published on April 11, 2018 by

In the first episode of our new series #AskTensorFlow, Developer Advocates Laurence Moroney & Magnus Hyttsten from Google’s TensorFlow team get together to answer questions that come directly from TensorFlow users. Find out how to manage your debug messages, why we prefer using Python for TensorFlow, the difference between TF Mobile & TF Lite, and much more! Check out all the helpful resources below & use #AskTensorFlow on social media if you want your question featured on a future episode!

GPU on Windows 10 Drivers → https://goo.gl/v2vdPu
TF Java → https://goo.gl/ddUm2i
TF Mobile → https://goo.gl/axQ88B
TF Lite → https://goo.gl/vomQL3
Introducing TensorFlow Lite – Coding TensorFlow → https://goo.gl/doVQL1
TensorFlow Lite for Android – Coding TensorFlow → https://goo.gl/fyYDp2
TensorFlow Lite for iOS – Coding TensorFlow → https://goo.gl/xNG7pM
Colab → https://goo.gl/qJJh2X
Creating a VM on GCE → https://goo.gl/3p2zVu
Kaggle Kernels → https://goo.gl/PJd3H9

Subscribe to the channel here → https://goo.gl/ht3WGe
Follow TensorFlow on Twitter → https://goo.gl/w8vfg5

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