looking for source of tensorflow==0.8rc [closed]
Closed 4 hours ago.
looking for source of tensorflow==0.8rc [closed]
Closed 4 hours ago.
TensorFlow: ImportError: DLL load failed while importing _pywrap_tensorflow_internal: A dynamic link library (DLL) initialization routine failed
I am running TensorFlow on Windows 11 Home. When I enter python -m pip install tensorflow
I see that the library has installed properly. When I enter python -m pip check tensorflow
I see the following message:
TensorFlow image operations for batches: same shift applied to entire batch
This is very similar to the question asked here: TensorFlow image operations for batches
Can not squeeze dim[1], expected a dimension of 1, got 11 for ‘{{node functional_3_1/ctc_1/Squeeze}} = Squeeze[T=DT_INT32,
i have been trying to train a model on extracting handwritten text from images . for this i have been using a hybrd model , where i am using Resnet model for features extraction and lstm for handling sequences .but for doing the same , i am facing error and i am not able to fix it .
Can not squeeze dim[1], expected a dimension of 1, got 11 for ‘{{node functional_3_1/ctc_1/Squeeze}} = Squeeze[T=DT_INT32,
i have been trying to train a model on extracting handwritten text from images . for this i have been using a hybrd model , where i am using Resnet model for features extraction and lstm for handling sequences .but for doing the same , i am facing error and i am not able to fix it .
How do I fix Matrix size-incompatible?
I am getting this error when running fit():
How do I fix Matrix size-incompatible?
I am getting this error when running fit():
I keep getting import statement error when running tensorflow example
I am new to tensorflow and trying to get some examples to work from this book by OReilly “Learning Tensorflow.js” and I have installed node, and run the tensorflow install script npm install @tensorflow/tfjs
and when I run a simple example to check the version using these two lines:
Tensorflow Reduce Tensor to Specified Degree using tf.math.reduce()
I am trying to reduce a conv output of x channels to y channels through a sum reduction. For example, if I have a output of (batches, h, w, d, 15), I want to reduce it to (batches, h, w, d, 5). I could not find a way to do this with the tf.math.reduce() function.