output-layer

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Ninad077 / Deep_Learning-Convolutional_Neural_Networks_CNN

Content: Structure of CNN, Convolutional layer, Pooling layer, Fully connected layer, Dense layer, output, Image classification, Creating, compiling and training the model on epochs, testing the model on gradio

metrics image-classification pooling-layers epoch fully-connected-network batch-size dense-layers output-layer cnn-structure convolutional-layer creating-compiling-and-training-the-model

Updated Apr 30, 2024
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dharunkumars-hub / Deep-Learning

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Deep learning is a subset of machine learning based on artificial neural networks with multiple layers (hence "deep") that mimic the human brain to process data.

dropout artificial-neural-networks convolutional-neural-networks transfer-learning activation hidden-layers keras-tensorflow dense efficientnetb0 maxpooling2d output-layer input-layer

Updated Mar 21, 2026
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