How to use a .pd file and integrate with a tensorflow model?
First I have a gzipped file named maia-1900.pb.gz, I unzipped it by double clicking on mac and a file named maia-1900.pb was outputted. I tried loading the model with model = tf.saved_model.load("maia-1900")
but I got an error saying: OSError: SavedModel file does not exist at: maia-1900/{saved_model.pbtxt|saved_model.pb}
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deep learning, library, coding
In the current deep learning support libraries such as tensorflow hub, pytorch torch, hugging face transformer, there are many built-in functions such as tokenizer etc.,
How to use the Vgg16 optimally
I read some code on the Vgg16 and I have some questions please. In some code I notice that they use the outputs like this :
Why training model with (Batch, 90, 7) Is slower than (Batch, 90, 8)?
Using tensorflow
I am using the following model: