Tensorflow Keras - Attributeerror: Layer Features Has No Inbound Nodes

Tensorflow version : 1.11.0 I am trying to use TensorBoard with Tensorflow keras model for projector visualisation. I am getting AttributeError: Layer features has no inbound node

Solution 1:

When defining a network in Keras, the first layer added needs to have input_shape added.

See the docs here: https://keras.io/getting-started/sequential-model-guide/#specifying-the-input-shape

So for MNIST, you should have something like input_shape=(28,28,1)

There's a nice example here: https://www.kaggle.com/adityaecdrid/mnist-with-keras-for-beginners-99457

Solution 2:

I guess you should specify input shape for the first layer of the sequential model