Python implementation of the neural networks without using any libraries from scratch, for prediction using the pre-trained weights
Implementing Neural network for predicting the output without using any higher level python libraries using pre-trained weights I have used numpy library only to initialize the array and it is eventually converted back to python list.
Input arraypre-trained weights model-architecture (.csv file)$ python predicting_without_libraries.pyConv1D LayerDense LayerMaxpool1D layerReluSigmoid
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