- Learn a network that learns a family of functions.
- Consider a family of sinusoidal functions.
- Our model must be able to perform two tasks: Function Selection and Regression
We have to implement the following:
Create the training dataset and dataloader
Create the Encoder and Decoder.
Create the optimizer and the loss for your model
Write the training script that will train the model and print the training loss
Evaluate the model on some validation data. Plot some predictions
- The complete details of task is mentioned in doc "Instructions of [login to view URL]"
- The format and must-haves of the project are mentioned in doc "small AI [login to view URL]"
- A reference doc "[login to view URL]" is attached for assistance in performing the task.