max-pooling

There are 0 repository under max-pooling topic.

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
cnn keras lstm max-pooling rnn stock-price-prediction tensorflow
Language:Python 142
ahmedfgad / CIFAR10CNNFlask
Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
cnn computer-vision convnet convolutional-neural-network css dropout flask fully-connected-network html http image-classification image-processing javascript max-pooling python relu tensorflow web-application
Language:Python 59
mayur7garg / PlantLeafDiseaseDetection
Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.
cnn convolutional-neural-networks deep-learning deep-neural-networks dropout global-average-pooling image-classification jupyter kaggle keras matplotlib max-pooling neural-network notebook python python3 regularization tensorboard tensorflow tensorflow2
Language:Jupyter Notebook 30
csbanon / mnist-classifiers
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.
cnn classification computer-vision convolution convolutional-neural-network deep-learning fully-connected mnist max-pooling multi-class-classification neural-network 2d-convolution 2d-max-pooling
Language:Jupyter Notebook 4
aNdr3W03 / Image-Classification-Deployment
Machine Learning Development - Image Classification Model Deployment
convolutional-neural-networks dicoding image-processing keras machine-learning max-pooling python tensorflow tflite
Language:Jupyter Notebook 3
RimTouny / Credit-Card-Fraud-Detection
Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.
classification-algorithms correlation-analysis data-science detection-model dimensionality-reduction encoding feature-engineering feature-scaling fraud-detection fraudulent-transactions label-encoding outliers pca smote standardscaler tsne-visualization non-fraudulent-transactions kears max-pooling nerual-network
Language:Jupyter Notebook 3
ayusdixit / Digital-ASIC-LAB
Verilog Codes for various Design
adder fifo max-pooling pipeline sequence-detector system-verilog uvm verilog one-detector reconfigurable-matrix-adder multiplication verilog-hdl
Language:SystemVerilog 2
danielmuthama / ML-Classifier-dogsvscats-Dataset
Ensemble Classifier
convolutional-neural-networks ensemble-classifier max-pooling standalone-components
Language:Jupyter Notebook 2
harinik05 / LeukoDif
Denoising Diffusion Medical Model (DDMM) on PyTorch for generating datasets of Acute Lymphoblastic Leukemia 🩺💜
batch-normalization convolutional-layers decoder diffusion-models embeddings encoder generative-ai image-segmentation max-pooling medical-image-processing oncology pytorch unet vae
Language:Jupyter Notebook 2
TrainingByPackt / Applied-Deep-Learning-with-Keras-eLearning
Solve complex real-life problems with the simplicity of Keras
python keras scikit-learn sequential-modelling recurrent-neural-networks rnn convolutional-neural-network cnn max-pooling flattening feature-map feature-detection null-accuracy precision sensitivity specificity auc-roc-score keras-wrapper cross-validation deep-learning
Language:Jupyter Notebook 2
aNdr3W03 / Rock-Paper-Scissors-Classification
Machine Learning For Beginners - Rock Paper Scissors Image Classification
convolutional-neural-networks dicoding image-classification keras machine-learning max-pooling python tensorflow
Language:Jupyter Notebook 1
cnavneet / DIGICAM
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.
machine-learning image-processing image-classification image-recognition deep-learning deep-neural-networks deep-learning-algorithms android android-application neural-network neural-networks dropout regularization pooling max-pooling artificial-intelligence artificial-neural-networks
Language:PureBasic 1
Grace-Hephzibah / Automobile-Parts-Classifier
A CNN Architecture classifies 14 kinds of automobile parts.
adam-optimizer categorical-cross-entropy convolutional-neural-networks data-augmentation dense matplotlib max-pooling tensorflow
Language:Jupyter Notebook 1
Mayur-Kyatham / SignoSpeak
American Sign Language (ASL) Detection using CNN
cnn dataset fully-connected-layer gaussian-blur gaussian-processes max-pooling relu relu-activation sign-language-recognition signlanguage tkinter tkinter-gui asl asl-recognizer convolution convolutional-neural-networks
Language:HTML 1
nazli-d / Binary-Classification-Using-CNN
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.
binary-classification cat-and-dog-classifier cnn convolutional-neural-networks keras numpy opencv python tensorflow flatten max-pooling relu-activation sigmoid-function
Language:Python 1
AleksandraAleksandrova / CS50-AI-P5-traffic
Project for lecture 5 Neural Networks to "Artificial Intelligence with Python" Harvard course
convolution convolutional-neural-networks image-recognition max-pooling neural-networks python3 tensorflow
Language:Python 0
ananyaroy1011 / Image-Segmentation
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
Language:Python 0
applesoju / DeepNeuralNetworks-P
classification cnn cnn-from-scratch convolution convolutional-layers convolutional-neural-network convolutional-neural-networks dense-layer dropout max-pooling mri-images
Language:Python 0
chandnii7 / Image-Segmentation
Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
albumentations augmentation camvid-dataset deep-convolutional-neural-networks encoder-decoder-architecture keras max-pooling pixel-wise segnet semantic-segmentation tensorflow
Language:Jupyter Notebook 0
lokeshkumar80 / Facial_Emotion_Recognition
Facial Emotion detection involves analysis of images or videos of faces to identify emotions based on the facial expressions
convolutional-neural-networks fully-connected-layer max-pooling supervised-learning
Language:Jupyter Notebook 0
peter-strom / ML-p3-CNN
ann average-pooling backpropagation cnn convoluted-neural-networks convolution convolutional-layers convolutional-neural-network convolutional-neural-networks feedforward feedforward-neural-network feedforward-neural-networks max-pooling maxpooling neural-network neural-networks pooling pooling-layers pooling-max-average
Language:C++ 0
RobertRusev / NLP-FinHeadlines-MoodTracker
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.
1d-convolution bidirectional-lstm cnn data-preprocessing data-science data-visualization dense-layers dropout embedding-layer-keras financial-news jupyter-notebook lstm machine-learning max-pooling natural-language-processing nlp python sentiment-analysis text-classification
Language:Jupyter Notebook 0
RobinMeneust / AI
AI model from scratch in C++ for image classification (MNIST dataset)
ai artificial-intelligence cmake cpp from-scratch mnist mnist-classification classification cnn convolution max-pooling
Language:C++ 0
SamaSamrin / Basic-CNN-Implementation
A beginner-level implementation of the Convolutional Neural Network or CNN, which is an essential algorithm in image processing.
cnn cnn-keras convolutional-neural-networks deep-learning max-pooling neural-network cifar100
Language:Jupyter Notebook 0
AkashSDas / how-does-convolutions-work
Visualizing effects of CNN filters and Max Pooling on images.
cnn filters max-pooling kaggle
Language:Jupyter Notebook
narayanacharya6 / SBU-NLP-HW4
Relationship Extraction using a Bi-directional GRU v/s CNN with multiple layers and max-pooling
natural-language-processing gru cnn convolutional-neural-networks neural-networks relation-extraction gated-recurrent-units max-pooling
Language:Python

max-pooling

dhingratul / Stock-Price-Prediction

ahmedfgad / CIFAR10CNNFlask

mayur7garg / PlantLeafDiseaseDetection

csbanon / mnist-classifiers

aNdr3W03 / Image-Classification-Deployment

RimTouny / Credit-Card-Fraud-Detection

ayusdixit / Digital-ASIC-LAB

danielmuthama / ML-Classifier-dogsvscats-Dataset

harinik05 / LeukoDif

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

aNdr3W03 / Rock-Paper-Scissors-Classification

cnavneet / DIGICAM

Grace-Hephzibah / Automobile-Parts-Classifier

Mayur-Kyatham / SignoSpeak

nazli-d / Binary-Classification-Using-CNN

AleksandraAleksandrova / CS50-AI-P5-traffic

ananyaroy1011 / Image-Segmentation

applesoju / DeepNeuralNetworks-P

chandnii7 / Image-Segmentation

lokeshkumar80 / Facial_Emotion_Recognition

peter-strom / ML-p3-CNN

RobertRusev / NLP-FinHeadlines-MoodTracker

RobinMeneust / AI

SamaSamrin / Basic-CNN-Implementation

AkashSDas / how-does-convolutions-work

narayanacharya6 / SBU-NLP-HW4