This repository contains my personal projects built with PyTorch for learning and practicing deep learning.
Each project focuses on a different dataset or problem and includes:
- Data preprocessing
- Model implementation
- Training and evaluation
- Well-documented notebooks
| Project | Description |
|---|---|
| ANN | Handwritten digit classification using a fully connected neural network |
| CNN | Image classification using a Convolutional Neural Network (CNN) on the CIFAR-10 dataset |
| RNN | Time series analysis using Recurrent Neural Network (RNN) on a custom dataset |
| LSTM | Turkish text prediction with Long Short Term Memory (LSTM) |
| GAN | MNIST digit generation using Generative Adversarial Networks (GAN) |
| RBFN | Flower classification using a Radial Basis Function Network (RBFN) |
| AutoEncoders | FashionMNIST image reconstruction using Autoencoders |
| TransferLearning | Flower classification using MobileNetV2 with Transfer Learning |
| ResNet | CIFAR-10 classification using a custom Residual Neural Network (ResNet) built from scratch |
- Python
- PyTorch
- Torchvision
- Matplotlib
- NumPy
- Scikit-learn
This repository is part of my learning journey in:
- Deep Learning
- Computer Vision
- Natural Language Processing
- Machine Learning with PyTorch
Bahar Çakır – Computer Engineering Student
Interested in Data Science, AI and Machine Learning