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dhingratul / Stock-Price-Prediction

Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

tensorflow keras cnn lstm stock-price-prediction rnn max-pooling

Updated Sep 18, 2017
Python

cnavneet / DIGICAM

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Digitally recognizing numbers in real life images has been a tough problem in artificial intelligence for many decades. The problem stems from the seemingly endless variations on fonts, colors, spacings, locations etc that these numbers can take within an image.

android machine-learning deep-neural-networks deep-learning neural-network image-processing android-application artificial-intelligence dropout neural-networks deep-learning-algorithms image-classification artificial-neural-networks image-recognition regularization pooling max-pooling

Updated Jul 8, 2018
PureBasic

TrainingByPackt / Applied-Deep-Learning-with-Keras-eLearning

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Solve complex real-life problems with the simplicity of Keras

Updated Aug 28, 2019
Jupyter Notebook

narayanacharya6 / SBU-NLP-HW4

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Relationship Extraction using a Bi-directional GRU v/s CNN with multiple layers and max-pooling

natural-language-processing cnn gru neural-networks convolutional-neural-networks relation-extraction max-pooling gated-recurrent-units

Updated Dec 30, 2019
Python

csbanon / mnist-classifiers

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A collection of Jupyter notebooks containing various MNIST digit and fashion item classification implementations using fully-connected and convolutional neural networks (CNNs) built with TensorFlow and Keras. 2020.

computer-vision deep-learning neural-network cnn mnist classification convolution convolutional-neural-network 2d-convolution max-pooling multi-class-classification fully-connected 2d-max-pooling

Updated Nov 12, 2020
Jupyter Notebook

chandnii7 / Image-Segmentation

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Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.

tensorflow keras segnet semantic-segmentation augmentation max-pooling camvid-dataset pixel-wise deep-convolutional-neural-networks encoder-decoder-architecture albumentations

Updated Dec 31, 2020
Jupyter Notebook

AkashSDas / how-does-convolutions-work

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Visualizing effects of CNN filters and Max Pooling on images.

cnn kaggle filters max-pooling

Updated Apr 8, 2021
Jupyter Notebook

mayur7garg / PlantLeafDiseaseDetection

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Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.

Updated May 2, 2021
Jupyter Notebook

ananyaroy1011 / Image-Segmentation

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Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.

tensorflow keras segnet semantic-segmentation augmentation max-pooling camvid-dataset pixel-wise deep-convolutional-neural-networks encoder-decoder-architecture albumentations

Updated Oct 26, 2021
Python

danielmuthama / ML-Classifier-dogsvscats-Dataset

Star

Ensemble Classifier

convolutional-neural-networks max-pooling ensemble-classifier standalone-components

Updated Nov 5, 2022
Jupyter Notebook

aNdr3W03 / Rock-Paper-Scissors-Classification

Star

Machine Learning For Beginners - Rock, Paper, dan Scissors Image Classification

python machine-learning tensorflow keras image-classification convolutional-neural-networks max-pooling dicoding

Updated Dec 14, 2022
Jupyter Notebook

aNdr3W03 / Image-Classification-Deployment

Star

Machine Learning For Beginners - Image Classification Model Deployment

python machine-learning tensorflow keras image-processing convolutional-neural-networks max-pooling dicoding tflite

Updated Dec 14, 2022
Jupyter Notebook

applesoju / DeepNeuralNetworks-P

Star

cnn dropout classification convolutional-layers convolution convolutional-neural-networks mri-images convolutional-neural-network max-pooling cnn-from-scratch dense-layer

Updated Jan 31, 2023
Python

Grace-Hephzibah / Automobile-Parts-Classifier

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A CNN Architecture classifies 14 kinds of automobile parts.

tensorflow matplotlib convolutional-neural-networks data-augmentation adam-optimizer max-pooling dense categorical-cross-entropy

Updated Feb 5, 2023
Jupyter Notebook

peter-strom / ML-p3-CNN

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neural-network cnn neural-networks convolutional-layers convolution feedforward-neural-network convolutional-neural-networks ann convolutional-neural-network backpropagation pooling-layers maxpooling feedforward pooling max-pooling pooling-max-average average-pooling feedforward-neural-networks convoluted-neural-networks

Updated Feb 11, 2023
C++

SamaSamrin / Basic-CNN-Implementation

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A beginner-level implementation of the Convolutional Neural Network or CNN, which is an essential algorithm in image processing.

deep-learning neural-network cnn convolutional-neural-networks cnn-keras cifar100 max-pooling

Updated Feb 28, 2023
Jupyter Notebook

ahmedfgad / CIFAR10CNNFlask

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Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

javascript css python html http flask computer-vision tensorflow convnet image-processing cnn web-application dropout image-classification convolutional-neural-network fully-connected-network max-pooling relu

Updated Apr 8, 2023
Python

RobertRusev / NLP-FinHeadlines-MoodTracker

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NLP-FinHeadlines-MoodTracker is a NLP project utilising sentiment analysis on financial news headlines. It employs a combination of CNN and LSTM layers to predict sentiment (positive, negative, neutral). The model incorporates an embedding layer, 1D convolution, max pooling, bidirectional LSTM, dropout, and dense layer for sentiment classification.

python nlp data-science machine-learning natural-language-processing sentiment-analysis text-classification jupyter-notebook cnn data-visualization lstm dropout data-preprocessing bidirectional-lstm max-pooling 1d-convolution embedding-layer-keras financial-news dense-layers

Updated Jul 14, 2023
Jupyter Notebook

nazli-d / Binary-Classification-Using-CNN

Star

This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.

python opencv tensorflow numpy keras cnn convolutional-neural-networks flatten binary-classification max-pooling sigmoid-function relu-activation cat-and-dog-classifier

Updated Sep 8, 2023
Python

AleksandraAleksandrova / CS50-AI-P5-traffic

Star

Project for lecture 5 Neural Networks to "Artificial Intelligence with Python" Harvard course

tensorflow python3 neural-networks image-recognition convolution convolutional-neural-networks max-pooling

Updated Oct 22, 2023
Python

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max-pooling

Here are 27 public repositories matching this topic...

dhingratul / Stock-Price-Prediction

cnavneet / DIGICAM

TrainingByPackt / Applied-Deep-Learning-with-Keras-eLearning

narayanacharya6 / SBU-NLP-HW4

csbanon / mnist-classifiers

chandnii7 / Image-Segmentation

AkashSDas / how-does-convolutions-work

mayur7garg / PlantLeafDiseaseDetection

ananyaroy1011 / Image-Segmentation

danielmuthama / ML-Classifier-dogsvscats-Dataset

aNdr3W03 / Rock-Paper-Scissors-Classification

aNdr3W03 / Image-Classification-Deployment

applesoju / DeepNeuralNetworks-P

Grace-Hephzibah / Automobile-Parts-Classifier

peter-strom / ML-p3-CNN

SamaSamrin / Basic-CNN-Implementation

ahmedfgad / CIFAR10CNNFlask

RobertRusev / NLP-FinHeadlines-MoodTracker

nazli-d / Binary-Classification-Using-CNN

AleksandraAleksandrova / CS50-AI-P5-traffic

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