Just like the title says. My vscode does not recognize and cannot access tensorflow although I have installed it.

How can I resolve this?

Just ran into one problem which is that the from keras.models, keras.layers and keras.optimizers it says import could not be resolved, do you know how I can fix this? Thanks

I’m encountering an error while using a custom BatchNormalization layer in TensorFlow for an object detection project. The error message I’m getting is:

I spotted weird problem with my script to train CNN model on Keras library. When I’m trying to learn simple CNN model during ending first epoch Keras throwing an error saying:

I am trying to use a CNN keras model that I trained to classify images. I am using model.predict(img) and I am getting an error with the expected shape. It says the found shape=(None,100,3) and the expected shape=(None,100,100,3).

My datasets has gotten extremely large so I am unable to use typical OLS methods to calculate my linear regression estimators, so I wanted to use a typical optimizer (Adam seems to be a good fit)

I am following a YouTube tutorial on transfer learning with TensorFlow and TensorFlow Hub. I am trying to use the MobileNet V2 model as a feature extractor in a keras.Sequential model. However, I encounter a ValueError stating that only instances of keras.Layer can be added to a Sequential model, despite using hub.KerasLayer. The relevant part of my code is:

Following codes yield the same result?

I want to design a model that takes an array of data as input and predicts another array of data as output. One metric that I want to use is the pearsonr. In other words, I want to minimize the difference between pearsonr(x_train, y_train) and pearsonr(x_train, y_pred)