maxpooling2d
There are 7 repositories under maxpooling2d topic.
EPSOFT/layers
layers
EPSOFT/Keras-Convolutianl-Networks
Keras Convolutianl Networks
jianninapinto/Convolutional-Neural-Network-to-Classify-Images-of-Forest-and-Mountains
Utilized CNN models to classify images of mountains and forests, treating mountains as the positive class and forests as the negative class. We compare the performance of a pre-trained model, a custom CNN model, and a CNN model with data augmentation.
harmanveer-2546/Diagnosis-Of-Pneumonia-By-CNN-Classifier
The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.
harmanveer-2546/Retinal-Disease-Classification
The number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment.
harmanveer-2546/Skin-Cancer-Classification-with-CNN
Skin cancer can be broadly classified into two major categories: Melanoma (Malignant) and non-melanoma (Benign). Melanoma is one of the deadliest kinds of cancer. However, the detection of this cancer at an early stage can help in improving the chances of survival.
REAtes/Fashion-MNIST-Data-Exploration-and-Deep-Learning-Model
This project aims to create a deep learning model for classifying fashion items using the Fashion MNIST dataset. Below, you can find the steps of the project and the results obtained.