maxpool2d

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Here are 15 public repositories matching this topic...

mdnuruzzamanKALLOL / CNN_Basic

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CNN

kernel filters sequential padding flatten cifar10 dense conv2d globalaveragepooling strides maxpool2d

Updated Apr 13, 2023
Jupyter Notebook

mdnuruzzamanKALLOL / CNN-Implementation_2

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Basic_CNN_Implementation

processing tensorflow keras prediction decode sequential cv2 flatten resnet-50 listdir conv2d maxpool2d danse

Updated Apr 9, 2023
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mdnuruzzamanKALLOL / CNN-Implementation_1

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Basic_CNN_Implementation

tensorflow keras prediction sequential preprocessing cv2 flatten resnet-50 dense listdir conv2d decod maxpool2d

Updated Apr 21, 2023
Jupyte 10000 r Notebook

Adversarial-Intelligence-Group / flexnets

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Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means

deep-neural-networks deep-learning neural-network convolution convolutional-neural-network pooling generalization activation-function maxpool2d lehmer

Updated Aug 25, 2022
Python

Najib-Haq / Vectorized-CNN-from-scratch

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Vectorized CNN implementation from scratch using only numpy

numpy convolutional-neural-networks backpropagation handwritten-digit-recognition vectorized cnn-classification cnn-from-scratch wandb maxpool2d numtadb

Updated Feb 23, 2023
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GMfatcat / Go_C_filter

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Test for the speed to do maxpooling in pure go , goroutine, and Cgo.

c go goroutine maxpool2d

Updated Jan 26, 2024
Go

Niklesh99 / Cats-vs-Dogs-using-CNN-and-keras-

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This Project is based on Neural Network to classify between Dogs and Cats.

machine-learning neural-network classification convolutional-neural-networks keras-neural-networks flatten prediction-model catvsdog dense activation-functions accuracy-metrics maxpool2d

Updated Aug 25, 2020
Python

Preetirai-tech / Brain-Tumor-Detection

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This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans.

opencv computer-vision deep-learning tensorflow keras cnn-classification sequential-models conv2d earlystopping batchnormalization maxpool2d modelcheckpoint

Updated Mar 24, 2023
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Lip reading using TensorFlow, OpenCV, and Keras involves training a deep learning model to recognize spoken words by analyzing lip movements from video frames. The process starts with OpenCV for capturing and preprocessing video frames, focusing on the speaker’s lips. These frames are then fed into a neural network built using Keras and TensorFlow.

deep-learning tensorflow keras lstm adam conv3d maxpool2d

Updated Sep 18, 2024
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Arunangshu-Nandy / CNN-with-Transfer-Learning-for-Animal-Images

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CNN with transfer learning for animal image detection

python opencv tensorflow feature-extraction image-classification keras-tensorflow cnn-classification mobilenetv2 matplotlib-pyplot keras-sequential-models scaling-image feature-vectors maxpool2d

Updated Feb 6, 2023
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somjit101 / MNIST-Classification-CNN

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A simple study on the use of CNNs for a simple handwritten number image classification task using the Keras framework (with Tensorflow background).

neural-network keras cnn neural-networks mnist-classification mnist-dataset convolutional-neural-networks cnn-keras cnn-classification maxpool2d

Updated Sep 15, 2021
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vansh-py04 / Convolution-Net-from-Scratch

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A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.

machine-learning computer-vision deep-learning numpy cnn convolutional-neural-networks cs231n backpropagation from-scratch nueral-networks softmax fully-connected-network cs231n-assignment maxpool2d stanford-deep-learning from-scratch-in-python

Updated May 20, 2025
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abrbird / NNNumpy

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Neural networks

artificial-neural-networks convolutional-neural-networks mlp neuralnetwork convolution2d softmax arctan relu numpy-neural-network batchnormalization maxpool2d

Updated May 26, 2022
Python

Shiritai / aias-lab6-spring-2024

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Lab6 of AI computing Architecture and System (2024 spring) around riscv emulator and implementation of fibonacci, sudoku (2x2) and maxpool in RISC-V

assembly riscv fibonacci sudoku riscv-emulator maxpool2d

Updated Jun 24, 2024
Assembly

Naveenad2 / Deep-Learning-Driven-Leaf-Photo-Analysis-for-Plant-Disease-Prediction

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Deep Learning-Driven Leaf Photo Analysis for Plant Disease Prediction is an innovative deep learning project that harnesses the power of Convolutional Neural Networks (CNNs) to revolutionize plant disease prediction.

javascript html django deep-learning numpy cnn python3 webapp maxpool2d

Updated Sep 8, 2023
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maxpool2d

Here are 15 public repositories matching this topic...

mdnuruzzamanKALLOL / CNN_Basic

mdnuruzzamanKALLOL / CNN-Implementation_2

mdnuruzzamanKALLOL / CNN-Implementation_1

Adversarial-Intelligence-Group / flexnets

Najib-Haq / Vectorized-CNN-from-scratch

GMfatcat / Go_C_filter

Niklesh99 / Cats-vs-Dogs-using-CNN-and-keras-

Preetirai-tech / Brain-Tumor-Detection

djdhairya / Lip-Reading

Arunangshu-Nandy / CNN-with-Transfer-Learning-for-Animal-Images

somjit101 / MNIST-Classification-CNN

vansh-py04 / Convolution-Net-from-Scratch

abrbird / NNNumpy

Shiritai / aias-lab6-spring-2024

Naveenad2 / Deep-Learning-Driven-Leaf-Photo-Analysis-for-Plant-Disease-Prediction

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