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Hand written digit recognition model done with MNIST dataset using tensorflow keras library. the model can detect the handwritten number and achieved 97% accuracy with 10000 data samples provided with MNIST
A simple code for creating your own custom layer in TensorFlow using Keras API. Here I have created the Dense layer same as the regular dense layer available in the Keras API.
CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.