Questions

1. What is the benefit of building a machine learning model on the web?
2. When we give the TensorHub model to tfjs-converter, what type of format will be generated?
   1. Layers model
   2. Graph model
3. How many ways can we release the memory that's been allocated to a tensor in a model in TensorFlow.js?
4. How can we inspect the structure of the model?
5. Describe the major difference between the Core API and the Layers API. When should we use them?
6. Construct a multilayer perceptron with the following layers:
   • The input is a vector with 784 elements.
   • The first intermediate layer is a fully connected layer whose output is a rectified linear unit and has a size of 32.
   • The second intermediate layer is a fully connected layer whose output is a rectified linear unit and has a size of 16.
   • The output is a softmax layer.
7. Is it possible to save a model that contains a custom layer?

...