convolutional-layers

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

audio classifier cnn audio-analysis dataset cricket convolutional-layers noise convolutional-neural-networks mlp tflearn audio-classification audio-processing multilayer-perceptron-network

Updated Jan 8, 2021
Python

ai-med / nn-common-modules

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Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

computer-vision deep-learning pytorch medical-imaging convolutional-layers segmentation densenet convolutional-neural-networks encoder-decoder dice-coefficient cross-entropy-loss

Updated Feb 2, 2021
Python

hiroyuki-kasai / SimpleDeepNetToolbox

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Simple MATLAB toolbox for deep learning network: Version 1.0.3

Updated Apr 16, 2019
MATLAB

ildoonet / tf-lcnn

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Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs

deep-learning tensorflow convolutional-layers mnist-dataset convolutional-neural-networks

Updated Sep 14, 2017
Python

sichkar-valentyn / Neural_Networks_for_Computer_Vision

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Implementing Neural Networks for Computer Vision in autonomous vehicles and robotics for classification, pattern recognition, control. Using Python, numpy, tensorflow. From basics to complex project

Updated Dec 31, 2020
Jupyter Notebook

VivianoRiccardo / Learning-Lab-C-Library

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This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

c library deep-learning neural-network opencl transformer lstm convolutional-layers deeplearning residual-layers residual-networks backpropagation optimization-algorithms softmax adam-optimizer avarage nesterov adam-algorithm dropout-layers

Updated Sep 29, 2023
C

Xujan24 / Object-Detection-using-CNN

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A simple single object detection using Convolutional Neural Network, (CNN).

detection cnn convolutional-layers convolutional-neural-networks

Updated Nov 23, 2018
Python

saaltone / SANNet

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SANNet Neural Network Framework

machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network automatic-differentiation tic-tac-toe maze deep-reinforcement-learning recurrent-neural-networks artificial-intelligence lstm neural-networks convolutional-layers convolutional-neural-networks monte-carlo-tree-search lstm-neural-networks travelling-salesman-problem gru-neural-networks

Updated Feb 19, 2024
Java

rtflynn / Cifar-Autoencoder

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A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

python neural-network mnist convolutional-layers autoencoder convolutional-neural-networks hidden-layers cifar10 reconstructed-images strided-convolutions convolutional-autoencoders

Updated Oct 29, 2018
Python

Simeonedef / Time-Series_Imaging_Forecasting

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In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.