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Simple CNN Model in TensorFlow/Keras by s22bothikarmohan is a document available to read on EtoBox.

The document provides Python code examples for training simple Convolutional Neural Networks (CNNs) using TensorFlow and Keras. It includes a minimal CNN model for the MNIST dataset with one convolution layer, one pooling layer, and one dense output layer, as well as a complete example for training a CNN on a custom image directory. Key features include data normalization, model compilation, training, and evaluation, with notes on dataset structure and performance optimization.

Author
s22bothikarmohan
Language
EN