Most of the code and associated materials are referenced from https://github.com/JiachengCao/cnn_accelerator. This project is a detailed annotated version of the code ...

Various Deep Learning algorithms, including Convolution Neural Network (CNN), LeNet, and Inception-V3 are implemented to classify the records and extract various patterns. LeNet demonstrates optimized ...

The model architecture is inspired by the LeNet-5 network, which is well-suited for image classification tasks. - For CIFAR10: Images are resized to 32x32 pixels, with additional data augmentation ...

Haddoc2 is a tool to automatically design FPGA-based hardware accelerators for convolutional neural networks (CNNs). Using a Caffe model, Haddoc2 generates a hardware description of the network (in ...

models/NonBayesianModels/: Contains standard Non-Bayesian models (LeNet, AlexNet). checkpoints/: Checkpoint directory: Models will be saved here. tests/: Basic unittest cases for layers and models.

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