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Easily build Keras models: utils for training/testing, built-in ANN, CNN, RNN models, modular Dense and Convolutional blocks, etc.
pip install eznet-keras
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
eznet-keras publishes 1 wheel and 1 source archive for version 1.1.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 11 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .