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EimanTahir027 / Convolutional-Neural-Networks-CNN

A practical guide to Convolutional Neural Networks covering convolutional layers, filters, pooling, CNN architecture design, TensorFlow, Keras, PyTorch, regularization, data augmentation, and MNIST/CIFAR-10 image classification.

tensorflow architecture keras cnn pytorch convolutional-layers mnist-dataset image-classification regularization convolutional-neural-networks pooling-layers augmentation dimentionality-reduction

Updated Oct 15, 2026
Python

codingClaire / GraphPoolingGarden

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A repo for baseline of graph pooling.

graph pytorch pooling-layers graph-classification pyg graph-neural-networks graph-pooling graph-deep-learning

Updated Nov 14, 2022
Python

rochitasundar / Intro-To-Deep-Learning-With-PyTorch

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This repository contains my code solutions to Udacity's coursework 'Intro to Deep Learning with PyTorch'.

neural-network optimizer dropout style-transfer regularization momentum transfer-learning kernels pooling-layers cnn-architecture rnn-pytorch early-stopping gram-matrix lstm-architecture error-function

Updated Jun 5, 2023
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jenimaz91 / CNN-Image-Classification-Transfer-Learning

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pooling-layers cifar10 relu-layer covolution-neural-network

Updated Jul 24, 2026
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MEGARAJAN-S / CNN-multiclass-image-classifier

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A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This repository contains the code for CNN with a categorical classification dataset.

python torch python3 artificial-intelligence dataset convolutional-layers artificial-neural-networks output convolutional-neural-networks pooling-layers loss-functions fully-connected-network adam-optimizer activation-functions torchvision crossentropyloss

Updated Jul 23, 2023
Python

MBadriNarayanan / TensorFlowInPractice

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Tensor Flow In Practice Specialization (4 Courses) . Course offered by Coursera and deeplearning.ai. Taught by Laurence Moroney.

time-series tensorflow tokenizer keras text-generation cnn lstm gru convolutional-layers rnn image-classification pooling-layers embedding-layers regularizers image-generators

Updated Jul 9, 2020
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MeakhelG / Proyek-Pengembangan-Klasifikasi-Gambar

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Submission atau Proyek Akhir yang dilakukan ini bertujuan untuk melakukan klasifikasi gambar tingkat lanjut dari kelas Belajar Penerapan Data Science yang diberikan oleh Dicoding dan IDCamp.

python machine-learning deep-learning image-classification sequential pooling-layers conv2d

Updated Feb 6, 2026
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HoangLeminh17 / Deep-Learning-FPT

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Deep learning on class

deep-learning tensorflow keras lstm convolutional-neural-network pooling-layers resnet50 fpt-university optimizer-algorithms

Updated Sep 27, 2025
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aalaa-adel1 / Neural-Network

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image classification task where we use different deep learning models from scratch like vgg16,cnn,tramsformers, and using the initial weights to try getting the best accuracy on kaggle competition

python transformers convolutional-neural-networks pooling-layers cnn-model fully-connected-network classification-model vgg16-model

Updated Mar 22, 2024
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peter-strom / ML-p3-CNN

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neural-network cnn neural-networks convolutional-layers convolution feedforward-neural-network convolutional-neural-networks ann convolutional-neural-network backpropagation pooling-layers maxpooling feedforward pooling max-pooling pooling-max-average average-pooling feedforward-neural-networks convoluted-neural-networks

Updated Feb 11, 2023
C++

mudassir-08 / LeNet-5-MNIST-CV

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This project implements the classical LeNet-5 CNN for MNIST digit classification using PyTorch. It covers a complete pipeline from data preprocessing to deployment. The model achieves ~98.8% test accuracy, showing the strong effectiveness of early CNN architectures for image classification.

Updated Apr 27, 2026
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Ninad077 / Deep_Learning-Convolutional_Neural_Networks_CNN

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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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RayPier / CIFAR-10-CNN-Comparison

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4 CNN versions for result comparison that closely follow the VGG Net architecture, there is a baseline model, + dropout only model, + batch normalization only model, and finally a model with both dropout and batch norm integrated

machine-learning computer-vision comparison feature-extraction batch-normalization convolutional-neural-networks pooling-layers dropout-layers

Updated Jul 28, 2026
Python

prakHr / Multiclass-Category-Classification

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Contains notebooks that does categorical classification of shop items using embeddings in CNNs and Pyspark(Logistic Regression and MLlib)

jupyter-notebook embeddings pyspark dropout python-3 convolutional-neural-networks pooling-layers pyspark-notebook pooling pyspark-mllib pooling-max-average

Updated Feb 25, 2022
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FanisGl / CNN_Machine_Learning

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A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

data-science machine-learning numpy keras pandas neural-networks pooling-layers softmax relu tensorflow2

Updated Aug 29, 2024
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harmanveer-2546 / Mystery-Planet

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Exoplanet Hunting in Deep Space.

python deep-learning tensorflow space keras cnn exoplanets scipy densenet hunting mystery roc-curve pooling-layers deep-space linearregression standardscaler batchnormalization roc-auc-score

Updated Aug 5, 2024
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pooling-layers

Here are 16 public repositories matching this topic...

EimanTahir027 / Convolutional-Neural-Networks-CNN

codingClaire / GraphPoolingGarden

rochitasundar / Intro-To-Deep-Learning-With-PyTorch

jenimaz91 / CNN-Image-Classification-Transfer-Learning

MEGARAJAN-S / CNN-multiclass-image-classifier

MBadriNarayanan / TensorFlowInPractice

MeakhelG / Proyek-Pengembangan-Klasifikasi-Gambar

HoangLeminh17 / Deep-Learning-FPT

aalaa-adel1 / Neural-Network

peter-strom / ML-p3-CNN

mudassir-08 / LeNet-5-MNIST-CV

Ninad077 / Deep_Learning-Convolutional_Neural_Networks_CNN

RayPier / CIFAR-10-CNN-Comparison

prakHr / Multiclass-Category-Classification

FanisGl / CNN_Machine_Learning

harmanveer-2546 / Mystery-Planet

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