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farrokhkarimi.github.io

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Artificial Intelligence Fundamental Concepts

Fundamental Concepts

Natural Neural Network and Artificial Neural Network Fundamental Concepts [3D Brain]

Image Processing

Image Processing with OpenCV [Colab notebook link]

TensorFlow and PyTorch Installation

TensorFlow installation guide
PyTorch installation guide
Google Colab

Deep Learning

Appendix

To plot the model:

tf.keras.utils.plot_model(model, rankdir="TD", show_shapes=True)

Parameters:
FC: (the previous layer number of nodes * the next layer number of nodes) + the next layer number of biases
CNNs: (kernel size (w*h) * number of channels * number of filters) + number of biases

Conv Feature Map Size:
The size of the convoluted matrix is given by C=((I-F+2P)/S)+1, where C is the size of the Convoluted matrix, I is the size of the input matrix, F is the size of the filter matrix and P is the padding applied to the input matrix.

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https://farrokhkarimi.github.io/

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