This new release took some time but it also offers a junk load of new features and bug fixes.
What's changed
- Implement a way to get the MNIST dataset;
- implement initiliazers and make it possible to choose each initializer for each Layer's parameter
- Implement the ADAM optimizer which works wonders compared with other optimizers already implemented
- Implement a builder pattern to set training options
- Fix some problems with the Categorical Cross Entropy loss function and optimize it for softmax
- Implement a Conv2D layer with some limitations and that still needs optimization
- Implement a MNIST example in the examples/ folder of the repo
- Made a logo for Intricate which is pretty cool
Full Changelog: v0.6.4...v0.7.0