Implement feedforward, convolution neural network in C++ with only built-in libraries. This is a tutorial style project which implements back propagation in neural networks without using external libraries. A 2D Tensor is defined and all the required Linear Algebra operations are defined to perform required computations. Both the networks are tested on mnist dataset which is attached along the project.
-
Notifications
You must be signed in to change notification settings - Fork 9
Implement feedforward, convolution neural network in C++ with only built-in libraries. This is a tutorial style project which implements back propagation in neural networks without using external libraries. A 2D Tensor is defined and all the required Linear Algebra operations are defined to perform required computations. Both the networks are te…
License
psrikanthm/cnn-from-scratch
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Implement feedforward, convolution neural network in C++ with only built-in libraries. This is a tutorial style project which implements back propagation in neural networks without using external libraries. A 2D Tensor is defined and all the required Linear Algebra operations are defined to perform required computations. Both the networks are te…
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published