Image Classification with 2D Convolutions, Deeplearning
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Oct 8, 2018 - Python
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conv2d
Here are 16 public repositories matching this topic...
Handwriting digit recognition using keras.Conv2D and MNIST database.
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Nov 6, 2019 - Python
Reinforcement Learning with Actor-Critic to play Breakout-v4 (Atari) from OpenAI Gym
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Jul 6, 2020 - Python
2D Convolutional Recurrent Neural Networks implemented in PyTorch
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Mar 27, 2021 - Python
Image classification using neural networks. Completed for school. Part 1 is a classical 80s style shallow network, and part 2 is a more modern network. For part 2, I added activation functions, implemented L2 Regularization, changed network depth and width, and used Convolutional Neural Nets to improve performance. Check README
neural-network pytorch image-classification convolutional-neural-networks sigmoid-function shallow-neural-network conv2d maxpool2d relu-activation
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Mar 23, 2022 - Python
This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU
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Jul 9, 2022 - Python
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Sep 27, 2022 - Python
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
tensorflow pytorch attention image-segmentation unet residual-networks medical-image-segmentation conv2d aspp squeeze-and-excitation pytorch-implementation unet-model resunet resunet-plus-plus resunet-architecture
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Oct 17, 2023 - Python
• Developed a Keras model for classification and a Flutter Mobile App for users to detect pox. • Submitted for International Journal Elsevier.
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Jan 9, 2024 - Python
This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.
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May 5, 2024 - Python
A FAST pure numpy based 1D, 2D, even n-dimensional convolution library.
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Jun 24, 2024 - Python
The "witin_nn" framework, based on PyTorch, maps neural networks to chip computations and supports operators including Linear, Conv2d, and GruCell. It enables 8-12 bit quantization for inputs/outputs and weights, implementing QAT.
natural-language-processing nat pytorch linear qat nerual-network conv2d computinginmemory convtranspose2d grucell
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Aug 15, 2024 - Python
Basic Gesture Recognition Using mmWave Sensor - TI AWR1642
python machine-learning ai neural-network tensorflow keras lstm resnet texas-instruments gesture-recognition mmwave conv2d awr1642 transformer-architecture conv1d mmwave-sensor
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Sep 12, 2024 - Python
CNN-based handwritten digit recognition ML web application built with Django and TensorFlow.
python html machine-learning django deep-learning tensorflow ml cnn mnist image-classification digit-recognition digit-recognizer sequential-models conv2d maxpooling2d
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Dec 21, 2025 - Python
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