Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
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Updated
Jun 7, 2024 - Python
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
Parseval Networks and Adversarial Examples
Bachelor Thesis of AI on banana state estimation using CNNs for waste reduction
Implementation of GoogLeNet series Algorithm
Python functions to create N-dimensional mechanical linkages consisting of struts and joints similar to the Strandbeest by Theo Jansen. The scripts allow one to treat the mechanical network of linkages between the struts as a non-linear neural net, which can be optimized to perform different functions. I call this a Rigid Neural Net (RigNN)
Time Series Analysis: Accelerometer Sensors of Object Inclination and Vibration. Time Series Analysis by using different (State of Art Models) Machine and Deep Learning. Recurent Neural Network with CuDNNLSTM Model, Convolutional Autoencoder, Residual Network (ResNet) and MobileNet Model.
Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023
Implementation of ResNet series Algorithm
Deep Residual Transformer Neural Network (DRTNN)
🚗 Browser game where a vehicle is driven through the camera using the ResNet model (Residual Network) to estimate the position of the hands.
Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.
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