convolutional-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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MuhammadSayyadkhan / Deep-Learning

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A simple deep learning repository covering ANN, CNN, Transfer Learning, and Sequence Models (RNN, LSTM, GRU) with easy explanations of core concepts.

perceptron pretrained-models padding convolutional-neural-network multi-layer-perceptron artificial-neural-network stride single-layer-perceptron long-term-memory reccurent-neural-network sequence-learning short-term-memory convolutional-layer image-net-dataset pooling-layer

Updated Oct 7, 2025
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