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Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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Dec 28, 2021 - Jupyter Notebook
FPGA Accelerator for CNN using Vivado HLS
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Oct 25, 2021 - C++
Artificial Intelligence Learning Notes.
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Mar 25, 2023 - Python
Learning Deep Features for Discriminative Localization (2016)
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Nov 15, 2022 - Python
a collection of my notes on deep learning
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Aug 11, 2017 - Jupyter Notebook
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
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Feb 27, 2020 - Python
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
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Dec 26, 2018 - Python
Handwritten Digit Recognition Using Convolutional Neural Network by Python
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Feb 21, 2022 - Python
FPGA and GPU acceleration of LeNet5
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Jul 9, 2019 - Objective-C
A tiny implementation of LeNet (without deep learning framework)
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Feb 12, 2020 - Python
Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.
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Oct 13, 2022 - Jupyter Notebook
This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.
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May 7, 2024 - Python
Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.
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May 6, 2018 - Jupyter Notebook
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