An educational walkthrough showing how to train a convolutional neural network (CNN) for image classification on CIFAR10.
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Updated
Jan 19, 2023 - Jupyter Notebook
An educational walkthrough showing how to train a convolutional neural network (CNN) for image classification on CIFAR10.
Multi-Class Image Classification Project to classify images into driving license, social security, and others category.
CNN model to predict the presence of pnuemonia based on the chest x-ray images
Multi class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN) with data augmentation and Accuracy score = 98 %
Deep Learning image classification model for fashion.
Convolutional Neural Networks (CNN) with Computer Vision (CV) for GTSRB Traffic Sign Classification
Trained a CNN model that classifies images of cats and dogs with an accuracy of 80%.
In this repository, we utilized Convolutional Neural Networks (CNN) to develop a binary classification model in detecting nodules in CT scans.
Just a practice to implement CNN on one of my favouraite games
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In this project, I've will build a convolutional neural network (CNN) that can predict whether a plant is suffering from a disease. I've used different layers and hyperparameters to build, train, and test this classification model. I have used TensorFlow and Keras for this project.
Convolutional Neural Networks (CNN) with Computer Vision (CV) for MNIST Handwriting Classification
A CCN model for identifying pneumonia from x-rays with 91.67% accuracy.
This CNN architecture implementation is used to predict the missing pixels of an input image.
Do you want to train a custom convolution neural network with minimal steps and 0 coding efforts. Here is how you can train custom image classification model with minimal steps. Clone this repository and enjoy the model training sipping hot coffee.
A basic CNN image classification model which can classify images of dogs and cats
Multi class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN) with data augmentation and Accuracy score = 98 %
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