🍀 Challenge: Building the Network
Explore the process of building a digit recognition model using the MNIST dataset. Learn to define network architecture, apply activation functions, compile the model with the Adam optimizer, fit training data over several epochs with batch processing, and evaluate the model to understand its accuracy. This hands-on exercise strengthens foundational skills in deep learning model implementation.
We'll cover the following...
We'll cover the following...
Problem statement
The preprocessed MNIST dataset has been provided. Specify the network architecture, compile, fit, and evaluate the model performance on the training data.
-
The model architecture should have 2 hidden layers with 60 and 60 nodes ...