Topic: max-pooling Goto Github
Some thing interesting about max-pooling
Some thing interesting about max-pooling
max-pooling,Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
User: ahmedfgad
Home Page: https://www.linkedin.com/in/ahmedfgad
max-pooling,Visualizing effects of CNN filters and Max Pooling on images.
User: akashsdas
max-pooling,Project for lecture 5 Neural Networks to "Artificial Intelligence with Python" Harvard course
User: aleksandraaleksandrova
max-pooling,Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
User: ananyaroy1011
max-pooling,Machine Learning For Beginners - Image Classification Model Deployment
User: andr3w03
max-pooling,Machine Learning For Beginners - Rock, Paper, dan Scissors Image Classification
User: andr3w03
max-pooling,Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
User: chandnii7
max-pooling,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.
User: cnavneet
max-pooling,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.
User: csbanon
max-pooling,Ensemble Classifier
User: danielmuthama
max-pooling,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
User: dhingratul
max-pooling,A CNN Architecture classifies 14 kinds of automobile parts.
User: grace-hephzibah
max-pooling,Denoising Diffusion Medical Model (DDMM) on PyTorch for generating datasets of Acute Lymphoblastic Leukemia π©Ίπ
User: harinik05
max-pooling,Facial Emotion detection involves analysis of images or videos of faces to identify emotions based on the facial expressions
User: lokeshraosaab
max-pooling,American Sign Language (ASL) Detection using CNN
User: mayur-kyatham
Home Page: https://mayur-kyatham.github.io/SignoSpeak/
max-pooling,Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.
User: mayur7garg
max-pooling,Verilog Codes for various Design
User: minecraftdixit
max-pooling,Relationship Extraction using a Bi-directional GRU v/s CNN with multiple layers and max-pooling
User: narayanacharya6
max-pooling,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.
User: nazli-d
max-pooling,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.
User: rimtouny
max-pooling,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.
User: robertrusev
max-pooling,AI model from scratch in C++ for image classification (MNIST dataset)
User: robinmeneust
max-pooling,A beginner-level implementation of the Convolutional Neural Network or CNN, which is an essential algorithm in image processing.
User: samasamrin
max-pooling,A open-cv and CNN(Tensorflow) implementation to detect Traffic light (red, yellow, green) state
User: tooth2
max-pooling,Solve complex real-life problems with the simplicity of Keras
Organization: trainingbypackt
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