James

Hello FANN's out there, I just want to let you all know that I have developed an alternative to FANN; Introducing TFCNN it is a fully connected neural networking library in C with a small footprint, and as such, it can be included in your project via a single header file. TFCNNv1 targets any platform that compiles C code, it features binary classification, and a staple set of 5 activation functions, 5 optimisers, and 3 uniform weight initialisation methods. A CPU based Uint8 version is additionally...

Hello FANN's out there, I just want to let you all know that I have developed an alternative to FANN; Introducing TFCNN it is a fully connected neural networking library in C with a small footprint, and as such, it can be included in your project via a single header file. TFCNNv1 targets any platform that compiles C code, it features binary classification, and a staple set of 5 activation functions, 5 optimisers, and 3 weight initialisation methods. A CPU based Uint8 version is additionally available...

Hello FANN's out there, I just want to let you all know that I have developed an alternative to FANN; Introducing TFCNN it is a fully connected neural networking library in C with a small footprint, and as such, it can be included in your project via a single header file. TFCNNv1 targets any platform that compiles C code, it features binary classification, and a staple set of 5 activation functions, 5 optimisers, and 3 weight initialisation methods. A CPU based Uint8 version is additionally available...