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 A One Layer Feed Forward Neural Network In TensorFlow With ReLU Activation
Create a one layer feed forward neural network in TensorFlow with ReLU activation and understand the context of the shapes of the Tensors
2:04 -
Tensor to NumPy: NumPy Array To Tensorflow Tensor And Back
Tensor to NumPy - Convert a NumPy array to a Tensorflow Tensor as well as convert a TensorFlow Tensor to a NumPy array
1:30 -
tf.random_uniform: Generate A Random Tensor In Tensorflow
tf.random_uniform - Generate a random tensor in TensorFlow so that you can use it and maintain it for further use even if you call session run multiple times
4:09
AI Workbox