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A collection of PyTorch projects for learning and practicing deep learning, covering computer vision and neural network fundamentals.

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PyTorch Projects

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

Projects

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

Tech Stack

  • Python
  • PyTorch
  • Torchvision
  • Matplotlib
  • NumPy
  • Scikit-learn

Purpose

This repository is part of my learning journey in:

  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Machine Learning with PyTorch

Author

Bahar Çakır – Computer Engineering Student
Interested in Data Science, AI and Machine Learning

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A collection of PyTorch projects for learning and practicing deep learning, covering computer vision and neural network fundamentals.

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