An experiment in training a fully connected residual net to learn the argmax function.
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Updated
Aug 17, 2018 - Python
An experiment in training a fully connected residual net to learn the argmax function.
Simple Multi-GPU Implementation of ResNet in Tensorflow
The experiment of project
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
The aim is to build a Deep Convolutional Network using Residual Networks (ResNet). Here we build ResNet 50 using Keras.
A computer vision web-app that uses deep learning and Residual Neural Networks to identify your Pokémon and then tells you all about it.
This is an AI-powered advertisement platform that performs Face Detection using Haar Cascade Frontal Face and Wide ResNet to detect your age and gender via an external camera and then show you video advertisements related to the products that suit your corresponding age and gender in real-time.
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
👣 “恒锐杯”鞋印花纹图像类别判定挑战赛
Simple implementation of a residually connected convolutional neural network in PyTorch
A collection of small-scale projects that helped me learn the basics of the PyTorch framework
Code for DCASE 2020 task 1a and task 1b.
High Accuracy ResNet Model under 5 Million parameters.
Single-sequence and Profile-based Prediction of RNA Solvent Accessibility Using Dilated Convolution Neural Network
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