Calculating Parameters in ML Model

I’m training a feed-forward neural network model.
It’s input has 1536 dimensions (a dense feature vector). Then there’s 2048 size layer followed by 512 weights one and finally a single output with sigmoid activation.
Could you help me to calculate the number of parameters in the model? (Do not hesitate to use interpreter to perform calculations)

To read the the full chat transcript use the iframe below or click on the following link to open it in another tab:
Calculate Parameters in ML Model

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.