AI Workbox
Use TensorFlow reshape To Infer Reshaped Tensor's New Dimensions
Use the TensorFlow reshape operation to infer a tensor's new dimensions when reshaping a tensor
Sebastian Gutierrez
< > Code:
You must be a Member to view code
Access all courses and lessons, gain confidence and expertise, and learn how things work and how to use them.
or Log In
Transcript:
You might also enjoy these deep learning videos:
-
Create TensorFlow Name Scopes For TensorBoard
Use TensorFlow Name Scopes (tf.name_scope) to group graph nodes in the TensorBoard web service so that your graph visualization is legible
6:04 -
tf.reshape: Use TensorFlow reshape To Convert A Tensor To A Vector
tf.reshape - Use TensorFlow reshape to convert a tensor to a vector by understanding the two arguments you must pass to the reshape operation and how the special value of negative one flattens the input tensor
4:18 -
tf.reduce_min: Get Minimum Value Of A TensorFlow Tensor
tf.reduce_min - Use TensorFlow's reduce_min operation to get the minimum value of a TensorFlow Tensor
1:42
AI Workbox