Public repository containing materials used for Feed Forward (FF) Neural Networks article.

Last update: Dec 29, 2021

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Deep Learning Art041_NN_Feed_Forward

Overview

Art041_NN_Feed_Forward

Public repository containing materials used for Feed Forward (FF) Neural Networks article.

Illustration of a very simple Feed Forward Neural Network:

Illustration of how Neural Network processes inputs to the get to the output:

Owner

SolClover

Data Science and Analytics Professional

GitHub Repository

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Public repository containing materials used for Feed Forward (FF) Neural Networks article.

Related tags

Overview

Art041_NN_Feed_Forward

Owner

SolClover

Evaluation toolkit of the informative tracking benchmark comprising 9 scenarios, 180 diverse videos, and new challenges.

EqGAN - Improving GAN Equilibrium by Raising Spatial Awareness

Symbolic Parallel Adaptive Importance Sampling for Probabilistic Program Analysis in JAX

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

Source code for EquiDock: Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking (ICLR 2022)

This repository contains the implementation of Deep Detail Enhancment for Any Garment proposed in Eurographics 2021

transfer attack; adversarial examples; black-box attack; unrestricted Adversarial Attacks on ImageNet; CVPR2021 天池黑盒竞赛

Automated image registration. Registrationimation was too much of a mouthful.

This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

Attention-driven Robot Manipulation (ARM) which includes Q-attention

Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Python implementation of 3D facial mesh exaggeration using the techniques described in the paper: Computational Caricaturization of Surfaces.

CHERRY is a python library for predicting the interactions between viral and prokaryotic genomes

BisQue is a web-based platform designed to provide researchers with organizational and quantitative analysis tools for 5D image data. Users can extend BisQue by implementing containerized ML workflows.

DeepGNN is a framework for training machine learning models on large scale graph data.

Code for our ALiBi method for transformer language models.

TransVTSpotter: End-to-end Video Text Spotter with Transformer

a basic code repository for basic task in CV(classification,detection,segmentation)