joaopauloschuler/k-neural-api

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.

Pythonkeras-tutorialsmachine-learning-apikeras-modelskeras-classification-modelskeras-layerkeras-neural-networkskeras-visualizationkeras-tensorflowkeras-image-classifierkeras-implementationskeras-deep-dreamkeras-tutorialkeras-exampleskeras-neural-networkkeras-generatorskeras-deep-learningkeras-image-augmentationparameter-efficient-learningparameter-efficient
This is stars and forks stats for /joaopauloschuler/k-neural-api repository. As of 28 Apr, 2024 this repository has 129 stars and 107 forks.

K-CAI NEURAL API K-CAI NEURAL API is a Keras based neural network API that allows you to: Prototype convolutional neural networks faster (see example). Add non-standard layers to your neural network. Visualize first layer filters, activation maps, heatmaps (see example) and gradient ascent (see example). Create parameter-efficient neural networks: V1 and V2. Create noise-resistant neural networks for image classification and achieve state-of-the-art classification accuracy. Use an extremely well...
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