Skip to content

Latest commit

 

History

History
9 lines (8 loc) · 437 Bytes

README.md

File metadata and controls

9 lines (8 loc) · 437 Bytes

CNN

CNN Implementation from scratch using python and numpy and testing it on minisit dataset

Classes:

Softmax : creating a layer with activation function as softmax
Relu : creating a layer with activation function as relu
Max_pool : creating a maxpool layer with given filtersize
Conv : creating a conv2d layer with given filtersize,num_filters
Model : used for combining layers in one model and compile it