Neural Fortran Versions Save

What's Changed

• Proposition of API for the method network % evaluate by @jvdp1 in https://github.com/modern-fortran/neural-fortran/pull/182
• Remove some unused variables and a broadcast by @jvdp1 in https://github.com/modern-fortran/neural-fortran/pull/180
• Intrinsic pack replaced by pointers in get_params and get_gradients by @jvdp1 in https://github.com/modern-fortran/neural-fortran/pull/183

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.16.1...v0.17.0

What's Changed

• Addidtion of Findneural-fortran.cmake by @jvdp1 in https://github.com/modern-fortran/neural-fortran/pull/178
• Replacement of a matmul + use of merge by @jvdp1 in https://github.com/modern-fortran/neural-fortran/pull/181

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.16.0...v0.16.1

What's Changed

• More conv2d tests by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/174
• Add instructions using Conda by @certik in https://github.com/modern-fortran/neural-fortran/pull/172
• Addition of the Loss derived type and of the MSE loss function by @jvdp1 in https://github.com/modern-fortran/neural-fortran/pull/175

New Contributors

• @certik made their first contribution in https://github.com/modern-fortran/neural-fortran/pull/172

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.15.1...v0.16.0

What's Changed

• safegaurd Box-Muller normal random number generation against u=0.0 by @dacarnazzola in https://github.com/modern-fortran/neural-fortran/pull/158

New Contributors

• @dacarnazzola made their first contribution in https://github.com/modern-fortran/neural-fortran/pull/158

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.15.0...v0.15.1

What's Changed

• Adagrad Optimizer Implementation by @Spnetic-5 in https://github.com/modern-fortran/neural-fortran/pull/154

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.14.0...v0.15.0

What's Changed

• Added Adam optimizer implementation by @Spnetic-5 in https://github.com/modern-fortran/neural-fortran/pull/150

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.13.0...v0.14.0

What's Changed

• Contributing guide by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/109
• GSoC Optimizers: Example program to fit a quadratic function by @Spnetic-5 in https://github.com/modern-fortran/neural-fortran/pull/134
• Update contributors and acknowledgment by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/138
• Add missing update for conv2d_layer by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/141
• Example program that shows how to access internal layer parameters by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/140
• add CELU activation function by @pablomazo in https://github.com/modern-fortran/neural-fortran/pull/143
• Added RMSProp Optimizer subroutine by @Spnetic-5 in https://github.com/modern-fortran/neural-fortran/pull/144
• SGD optimizer stub by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/139
• Connect flatten, conv2d, and maxpool2d layers in backward pass by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/142
• Added Momentum and Nesterov modifications by @Spnetic-5 in https://github.com/modern-fortran/neural-fortran/pull/148

New Contributors

• @pablomazo made their first contribution in https://github.com/modern-fortran/neural-fortran/pull/143

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.12.0...v0.13.0

What's Changed

• Added Leaky ReLU activation function (1D & 3D) by @Spnetic-5 in https://github.com/modern-fortran/neural-fortran/pull/123
• Class-based activation functions by @ggoyman in https://github.com/modern-fortran/neural-fortran/pull/126

New Contributors

• @Spnetic-5 made their first contribution in https://github.com/modern-fortran/neural-fortran/pull/123
• @ggoyman made their first contribution in https://github.com/modern-fortran/neural-fortran/pull/126

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.11.0...v0.12.0

What's Changed

• Add missing edit descriptor by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/113
• Small workaround to make Intel compiler happy by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/117
• Introduce optimizer_base_type in support of different optimizers by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/116
• Insert a flatten layer if a dense layer follows a layer by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/118
• Add linear activation function by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/119
• Update contributors by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/120

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.10.0...v0.11.0

This release introduces get_num_params, get_params, and set_params methods to network and layer derived types, and allow you to more easily get and set network hyperparameters from custom Fortran code or other libraries. See the example to learn how it works.

Thanks to Christopher Zapart @jvo203 for this feature contribution.

What's Changed

• Fix CMake build by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/110
• Get set network parameters by @milancurcic in https://github.com/modern-fortran/neural-fortran/pull/111

Full Changelog: https://github.com/modern-fortran/neural-fortran/compare/v0.9.0...v0.10.0