This repository includes the free guided project I worked on Coursera. All notebooks are in Kaggle.
Information about completion: ✅(Complete), 🚧 (Work in Progress), ❌ (Incomplete)
| Status | Date | Project Name | Project Explanation | Project Technologies | Notebook Link |
|---|---|---|---|---|---|
| ✅ | March 2023 | Transfer Learning for NLP with TensorFlow Hub | This project focuses on using transfer learning techniques to build and fine-tune natural language processing models using TensorFlow Hub. | Natural Language Processing Deep Learning Inductive Transfer Machine Learning TensorFlow |
Notebook Link |
| ✅ | March 2023 | Deep Learning with PyTorch: Siamese Network | This project focuses on implementing a Siamese network using PyTorch for deep learning applications such as face recognition and similarity matching. | Siamese Network Deep Learning Convolutional Neural Network PyTorch Computer Vision |
Notebook Link |
| ✅ | March 2023 | Facial Expression Recognition with PyTorch | This project focuses on using PyTorch build a deep learning model capable of recognizing facial expressions in images and video, using Keras as one of the project technologies. | Deep Learning Convolutional Neural Network Machine Learning Computer Vision Keras |
Notebook Link |
| 🚧 | March 2023 | Aerial Image Segmentation with PyTorch | This project focuses on applying deep learning techniques using PyTorch to perform segmentation on aerial images, with potential applications in fields such as urban planning, agriculture, and disaster response. | Convolutional Neural Network Python Programming Autoencoder PyTorch |
Notebook Link |