Leveraging Transfer Learning on the classic CIFAR-10 dataset by using the weights from a pre-trained VGG-16 model.
Reference: Hands-On Transfer Learning with Python
Deep Convolutional Generative Adverserial Networks
Примеры для курса "Программирование глубоких нейронных сетей на Python"
Keras - well documented codes for MLCC session on 19th November, 2018 at CSIR-NISCAIR - New Delhi
Contains code for my model reproducibility experiments. Report attached.
Deep learning codes and projects using Python
Contains additional materials for two keras.io blog posts.
This project shows how to build a simple handwriting recognizer in Keras with the IAM dataset.
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine...
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
Handwritten Digit Recognition using Machine Learning and Deep Learning
This project presents a simple framework to retrieve images similar to a query image.
VGGFace implementation with Keras Framework
ConvNeXt conversion code for PT to TF along with evaluation code on ImageNet-1k val.
Using CNN to achieve style transfer