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🧠 Deep Learning Projects Repository

Python Jupyter TensorFlow PyTorch

Welcome to my repository featuring various deep learning projects! 🚀

This repository contains different tasks solved using convolutional neural networks, autoencoders, and transfer learning techniques. Each project is implemented in Jupyter Notebook with a detailed explanation of the applied algorithms.

📂 List of Projects

📌 Project Descriptions

🖼️ CIFAR-10 with LeNet

Image classification using the LeNet convolutional neural network on the CIFAR-10 dataset.

🔢 MNIST with Autoencoder

Unsupervised feature learning and dimensionality reduction using an autoencoder on the MNIST dataset.

📜 Transfer Learning with AlexNet, VGGNet, and ResNet

Applying transfer learning techniques using AlexNet, VGGNet, and ResNet for image classification tasks.

💬 Disaster Tweets with NLP & BERT

Natural language processing (NLP) approach to classify tweets as disaster-related or not, utilizing BERT.

🔧 Installation and Usage

  1. Clone the repository:
    git clone https://github.com/sovunia-hub/deep-learning.git
  2. Open Jupyter Notebook and run the project of your choice.

📩 If you have any questions or suggestions, feel free to contact me!

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This repository contains different tasks solved using convolutional neural networks, autoencoders, and transfer learning techniques.

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