Operations in Convolutional Neural Networks | Convolution, Pooling and Fully Connected Layer

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Learn about the steps involved in CNNs after an image is transformed into a pixel matrix. The pixel matrix goes through convolutional layer which extracts detailed features, then an activation functions is applied on it to convert the matrix into smaller matrix with important features. Then the fully connected layer is a neural network which does the decision making.

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No bullshit talk, just pure information combined with some country music. Great job!

tanh
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This cleared up so much for me great job

siddhanthbhattacharyya
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Great work! It might better if you add names of each technique. Such as use filter to convolve the matrix, etc

ajiazhou
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How 11 is coming In max pooling output convolution

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