Artificial Intelligence Learning Notes.

pytorch and cifar10

Tutorials of deep learning for computer vision.

The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%

An Eyeriss Chip (researched by MIT, a CNN accelerator) simulator and New DNN framework "Hive"

Learning Deep Features for Discriminative Localization (2016)

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

Handwritten Digit Recognition Using Convolutional Neural Network by Python

A tiny implementation of LeNet (without deep learning framework)

This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.

Implement lenet and vgg19 by tensorflow with dataset mnist using tfrecord

Build a CNN (LeNet) model for smile detection

本仓库包含了完整的深度学习应用开发流程，以经典的手写字符识别为例，基于LeNet网络构建。推理部分使用torch、onnxruntime以及openvino框架💖

Training model architectures like VGG16, GoogLeNet, DenseNet etc on CIFAR-10 dataset

Project of photoelectric information processing experiment in ZJU, ISEE

A four legged robot imbued with the power of Python and Machine Learning

Sound Classification Dataset

Naruto Characters 😼 Ocular Power 👓 Classification ❤️ using deep learning 💫 machine learning

Tensorflow implementation for generating adversarial examples using convex programming