Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
-
Updated
Dec 28, 2021 - Jupyter Notebook
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
FPGA Accelerator for CNN using Vivado HLS
Artificial Intelligence Learning Notes.
a collection of my notes on deep learning
Learning Deep Features for Discriminative Localization (2016)
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
Handwritten Digit Recognition Using Convolutional Neural Network by Python
AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
Build a CNN (LeNet) model for smile detection
A tiny implementation of LeNet (without deep learning framework)
Implementation of LeNet5 without any auto-differentiate tools or deep learning frameworks. Accuracy of 98.6% is achieved on MNIST dataset.
Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.
A four legged robot imbued with the power of Python and Machine Learning
Add a description, image, and links to the lenet topic page so that developers can more easily learn about it.
To associate your repository with the lenet topic, visit your repo's landing page and select "manage topics."