python scripts to train, evaluate and use CNN for images classification, using majority polling.
最近更新: 接近6年前The goal of the project is to implement and evaluate classification algorithms and the classification task will be to recognize a 28 × 28 grayscale handwritten digit image and identify it as a digit among 0, 1, 2, ... ,9. The MNIST and USPS datasets are used for training and testing the logistic regression, single hidden layer neural network and convolutional neural network respectively. The hyper-parameters are tuned for the logistic regression and single hidden layer neural network.
最近更新: 接近6年前Repository for training and evaluating various CNN based Classification Models
最近更新: 接近6年前Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
最近更新: 接近6年前Python object detection package (uses TF models and OpenCV)
最近更新: 接近6年前
