Comprehensive Explanation of Convolutional Neural Network (CNN) Layers
An in-depth overview of the architecture and functioning of Convolutional Neural Networks (CNNs), covering all layers involved in their design and operation.
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#CNN #ConvolutionalNeuralNetwork #MachineLearning #DeepLearning #DataScience
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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Feb 20, 2021
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#Convolutional Neural Networks #convnets #convolutional neural network #convnet #convolutional neural net keras #image classification #Deep learning #Deep Learning Keras #CNN Image classifier #Python #convnets keras #deep learning #artificial intelligence #keras image classifier #deep learning image classification #maxpooling layer #convolutional layer #filter #fully connected #computer vision #image processing
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