In CNN model with keras API , we used an image as input then it works hidden layer where Convolution, Relu and Maxpool2D works and after then it works for Flatten, Dense layer and finally provide the desired output which is know as Classification. I just explained Sequentil model. Now I am confused about hidden layer. In hidden layer, is it works with an images 3 dimention?? I want to say, 3 dimensions as height, width and then in the last dimension the RGB colors. Actually what happening in the hidden layer.
https://stats.stackexchange.com/questions/63152/what-does-the-hidden-layer-in-a-neural-network-compute
Dear Scholar
https://www.analyticsvidhya.com/blog/2020/02/learn-image-classification-cnn-convolutional-neural-networks-3-datasets/
https://medium.com/@randerson112358/classify-images-using-convolutional-neural-networks-python-a89cecc8c679
https://www.geeksforgeeks.org/image-classifier-using-cnn/
The images are loaded as form of tensor for most of the CNN and used sequentially for further processing
To understand the workings of hidden layers,
You could start from here -
https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/
Then move on to research papers for mathematical clarification.
To see what a cnn sees, you could refer explainable machine learning papers:
1. Here is my contribution: Preprint IS-CAM: Integrated Score-CAM for axiomatic-based explanations
Dear Imdadul Haque
Check this paper
Article Novel Feature Selection and Voting Classifier Algorithms for...
https://machinelearningmastery.com/convolutional-layers-for-deep-learning-neural-networks/
https://missinglink.ai/guides/convolutional-neural-networks/fully-connected-layers-convolutional-neural-networks-complete-guide/
This might help
Ritika Lohiya Aravinda C V Khurram Hameed Soumya Snigdha Kundu Abdelhameed Ibrahim Thank all of you. It's a great help.
https://stats.stackexchange.com/questions/63152/what-does-the-hidden-layer-in-a-neural-network-compute
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