Releases: appxpy/NNFS
Releases · appxpy/NNFS
NNFS - v1.1
Stable release of NNFS library & Qt Paint tool!
This release includes the following features:
- Enhanced preprocessing of MNIST dataset in
tools/train.cpp
- Paint written using Qt library, allowing to test trained model by yourself
- Bug fixing & general improvements
made with ❤️ by @appxpy and @brazenoptimist
NNFS - v1.0
Stable release of NNFS library
This release includes the following features:
- Saving and loading models is now available!
- Test coverage 88%
- New logo on documentation website
- Minor changes & bug fixes
made with ❤️ by @appxpy
NNFS - v1.0 - Pre-release
First pre-release of the NNFS library.
This release includes the following features:
- Dense layer
- Activation layers (ReLU, Sigmoid, Tanh, Softmax)
- Loss function (Categorical Cross Entropy)
- Optimizer (SGD, RMSProp, Adagrad, Adam)
- Metrics (Accuracy)
- Neural network (Sequential)
- Data loader (MNIST)
- Example (MNIST classification)
made with ❤️ by @appxpy