This repository contains a collection of neural networks I developed as a fun exploration into the world of deep learning. It includes implementations of various architectures like Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), and Generative Adversarial Networks (GANs).
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Deep Neural Networks (DNNs):
- Fully connected architectures for various datasets.
- Applications in structured data, time series, and basic tasks.
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Convolutional Neural Networks (CNNs):
- Standard CNNs for image classification.
- Custom architectures for specific image datasets.
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Generative Adversarial Networks (GANs):
- Basic GANs for learning adversarial training.
- Variants like DCGANs and conditional GANs for specific use cases.
- Programming Language: Python
- Deep Learning Frameworks: TensorFlow, PyTorch
- Additional Libraries: NumPy, Matplotlib, OpenCV, Pandas