neural-fortran-0.5.0

What's Changed

• Support for loading Keras models by @milancurcic in #79. Many thanks to @scivision for a complete CMake overhaul and for assisting with adding h5fortran as a dependency. This is an experimental and minimally tested feature, supporting only input and dense layers saved in a Keras HDF5 file. See the mnist_from_keras example to see how it works.
• HDF5, h5fortran, and json-fortran are now required dependencies. HDF5 you have to provide to the build system. The latter two are taken care of automatically.

Full Changelog: v0.4.0...v0.5.0

neural-fortran-0.4.0

What's Changed

• Add note about downloading MNIST data without curl by @milancurcic in #67
• Forward pass for the conv2d layer by @milancurcic in #65
• Forward pass for a max-pooling layer by @milancurcic in #66
• Fix layers summary table by @milancurcic in #70
• fix #72 - use dir tree to expose user API by @rouson in #74
• Clean up example and add a note to emphasize the user API by @milancurcic in #76
• Fix CMake build for the new src directory structure by @milancurcic in #77
• Implement a flatten layer by @milancurcic in #75

Full Changelog: v0.3.0...v0.4.0

neural-fortran-0.3.0

What's Changed

• Refactor for convnets by @milancurcic in #58

Full Changelog: v0.2.0...v0.3.0

neural-fortran-0.2.0

What's Changed

• Refactor: move procedure definitions submodules by @rouson in #51
• Delete CAF C preprocessor macro by @rouson in #52
• Download mnist.tar.gz if it is missing by @rouson in #55
• Remove instructions about downloading MNIST data by @milancurcic in #56
• Workaround for submodule-related bug in GFortran-9 by @milancurcic in #59

Full Changelog: v0.1.0...v0.2.0

neural-fortran-0.1.0

This release is a snapshot of neural-fortran before the refactor to submodules (see #51), which raises the requirement for compiler versions.