Implementing Transfer Learning for custom data using Resnet-18 in Pytorch.

Dog vs Cat Classification model trained over MobileNetv2. The model is trained on 2000 images and gives an accuracy of 98.75%

A Github repository containing code for a study on Covid-19 detection through Chest X-rays using deep learning and custom algorithms. Achieved an accuracy range of 82-88 percent by analyzing pneumonia traces.

ML model to recognize cats and dogs using transfer learning

This project is an image classification project based on a transfer learning approach using with MobileNetV2 architecture.

Using LIME and Grad-CAM techniques to explain the results achieved by various image transfer learning techniques

Transfer learning methods using Tensorflow

Brain Tumor MRI images have been classified into 4 classes by using Transfer Learning Models.

This deep learning model(CNN) uses Transfer learning by Feature Extraction and Fine Tuning in order to make multiclass-classification between COVID-19, Pneumonia and Healthy images.

This repo gives an introduction to transfer learning using a pre-trained model Inception.

Code for the project "Exploring transferability and model agnostic meta learning across NLP Tasks". CS330 Deep Multi-Task and Meta Learning, Stanford University.

Dog Breed Identification using Transfer Learning implemented in TensorFlow & PyTorch

Determine whether the Brain MRI image has a tumour. It also segments the brain image.

This project is an image classification task of 450 bird species using the MobileNetV2 architecture.

A template Fine-Tuned Classifier using a pretrained VGG16

A comparison between Transfer Learning and custom Convolutional Network to classify images.

The project consists of applying the Transfer Learning method to a Deep Learning network in the Python language in the COLAB environment.

A deep learning project which explores the capabilities of different models trained with a very small dataset of x-rays

Deep Learning project where we had to build a model which classifies, by looking at an unseen human retina, if the eye is normal or has one of 3 diseases. Authors: André Cunha | Catarina Duarte | Cláudia Rocha | Dinis Melo | Susana Dias | Lisbon, Portugal | April 2023