#7: Variables in TensorFlow | Tutorial

Published: 09 March 2022
on channel: learndataa

519

The video discusses Variables in TensorFlow.

** Note: Audio breaks at times.**

Timeline
(Python 3.7.12; TensorFlow 2.8)

00:00 - Begin
00:10 - Outline of video
00:40 - Open notebook in Google Colaboratory
01:00 - Create a Variable: tf.Variable()
02:30 - Variable dtypes: boolean
03:04 - Variable dtypes: complex
04:05 - Check shape of a variable: x.shape
04:50 - Check data type of a variable: x.dtype
05:05 - Convert Variable to Numpy array: x.numpy()
05:36 - Reshape a variable: not allowed, creates a reshaped tensor instead
08:06 - Assign values to a Variable: x.assign()
12:08 - Assign values to a Variable: x.assign_add()
12:51 - Assign values to a Variable: x.assign_sub()
13:33 - Name a Variable
16:30 - Gradients or differentiation of Variables: on/off
18:44 - Placing Variables or Tensors: with tf.device("CPU:0"):
21:49 - * * * CORRECTION: misspoke 'Jupyter notebook' instead of "Colab notebook'
22:17 - Ending notes

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