Developing a neural net with PyTorch to classify images from the CIFAR10 data set. Code is available in the pytorchpractice.py file the trained model can be accessed directly from nnmodel_cifar10.pt.

TODO: save trained model ... but doing so gives a visual check on the prediction. The test image is a PyTorch tensor with shape (3, 32, 32). The image is converted to a NumPy array, and ...

PyTorch implementation and report of a Convolution based Image Colorization model from scratch. 3rd Take Home Exam of the course CENG483 (Intro to Computer Vision) of METU CENG department.

These models are stored in different file formats depending on the framework they were created in .pkl for Scikit-learn, .pb for TensorFlow, .pth for PyTorch ... model. import numpy as np from IPython ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...