Resource of free step by step video how to guides to get you started with machine learning.
Friday, July 12, 2019
TensorFlow.js (TensorFlow Meets)
TensorFlow.js (TensorFlow Meets)
[Collection]
On this episode of TensorFlow Meets, Laurence (@lmoroney) talks with Yannick Assogba, Front End Software Engineer on the TensorFlow team. Learn about how to get started with TensorFlow.js as the 1.0 version is now available. Comment below for any questions!
This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.
TensorFlow.js → http://bit.ly/2L6Bq0k
TensorFlow.js 1.0 (TF Dev Summit ‘19) → http://bit.ly/2S74ohl
BodyPix - person segmentation in the browser → http://bit.ly/30iFI8z
Toxicity classifier → http://bit.ly/2NQfkBk
Universal sentence encoder → http://bit.ly/2LKiHHq
Subscribe to the TensorFlow channel → https://goo.gle/2WtM7Ak
Watch more episodes of TensorFlow Meets → https://goo.gle/2Z8zCXJ
Wednesday, July 3, 2019
TensorFlow 2.0 and Keras (#AskTensorFlow)
TensorFlow 2.0 and Keras (#AskTensorFlow)
[Collection]
Developer Advocate Paige Bailey (@DynamicWebPaige) and TF Software Engineer Alex Passos answer your #AskTensorFlow questions. Remember to use #AskTensorFlow to have your questions answered in a future episode!
0:18 - What will be the support model for stand-alone Keras?
1:01 - Does tf.keras include everything that stand-alone Keras includes?
1:44 - What will TensorFlow 2.0 change to stand-alone Keras?
2:24 - Is there support for Bayesian layers in tf.keras?
2:54 - Can I create custom layers through tf.keras?
3:37 - Will the Keras namespace be removed in future releases of TF 2.0?
4:15 - Can we use SavedModel for a Keras model?
Keras Special Interest Group: http://bit.ly/2Xc6Sko
Join the TF community: http://bit.ly/2KFIXDo
TF Probability port for Bayesian Methods for Hackers: http://bit.ly/2RBwa5d
This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish.
Subscribe to the TensorFlow channel → http://bit.ly/TensorFlow1
Watch more episodes of #AskTensorFlow → http://bit.ly/2JcL3tT
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