TL;DR: Just solved this issue by making sure that both tensorflow and tensorflow-estimator were in the same version. (in my case, I needed to downgrade tensorflow-estimator, so conda install tensorflow-estimator=2.1.0 solved it for me) As you may have noticed, some tensorflow versions do not play well with certain GPUs, so I would first check some … Read more
You need to use the TensorBoard tool for visualizing the contents of your summary logs. The event file log can be read and use it. You can see the example from this link provides information about how to read events written to an event file. # This example supposes that the events file contains summaries … Read more
The problem is in your target shape and is related to the correct choice of an appropriate loss function. you have 2 possibilities: 1. possibility: if you have 1D integer encoded target, you can use sparse_categorical_crossentropy as loss function n_class = 3 n_features = 100 n_sample = 1000 X = np.random.randint(0,10, (n_sample,n_features)) y = np.random.randint(0,n_class, … Read more
Background The Estimators API was added to Tensorflow in Release 1.1, and provides a high-level abstraction over lower-level Tensorflow core operations. It works with an Estimator instance, which is TensorFlow’s high-level representation of a complete model. Keras is similar to the Estimators API in that it abstracts deep learning model components such as layers, activation … Read more