Write programs using either Python, MatLab, to perform the following tasks: 1. Train a neural network using **ALL** the records in this dataset to perform a two-class classification analysis. 2. Extract the hidden representations (Z-Code) of all the input records from the last layer (the layer right before the Softmax layer) of the trained neural network. 3. If the dimension of the Z-Code is greater than two dimensions, perform a t-sne compression to reduce the dimension to
The dataset on the Blackboard (CellDNA.csv) contains various measurements (i.e. size, center, etc) from thousands of bacterium under microscope. The non-zero values in the…