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Convolutional Neural Networks (CNN / Convnets) all layers explained !
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We understand the working and the architecture of a general Convolutional Neural Network or Convnets. These convnets are used in a lot of Image processing and Computer Vision applications.
We look at each layer one by one. The Convolutional Layer, Max Pooling Layer, Normalisation Layer, Fully Connected Layer. And analyse the input and output of each layer.
Then we connect all these layers and look at the bigger picture.
We understand the working and the architecture of a general Convolutional Neural Network or Convnets. These convnets are used in a lot of Image processing and Computer Vision applications.
We look at each layer one by one. The Convolutional Layer, Max Pooling Layer, Normalisation Layer, Fully Connected Layer. And analyse the input and output of each layer.
Then we connect all these layers and look at the bigger picture.
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