K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
Updates in this new release v0.1.7 are:
The new function cai.datasets.save_tfds_in_format saves a TensorFlow dataset as image files. Classes become folders for easy of use by standard Keras API.
Basic code for the paper "Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet".
Added method to display heatmaps: cai.models.calculate_heat_map_from_dense_and_avgpool
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Added method to calculate patterns from inner layers via Gradient Ascent / Deep Dream: cai.gradientascent.run_gradient_ascent_octaves
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