Abhinav Singh's Projects
This repository contains a TensorFlow 2.x implementation of Neural Style Transfer, a deep learning technique that combines the content of one image with the style of another. The model is based on the VGG19 architecture and utilizes transfer learning for style and content extraction.
Explore and understand the world of Autoencoders and dimensionality reduction with this TensorFlow 2.x implementation of a Stacked Autoencoder trained on the Fashion MNIST dataset. This project showcases the reconstruction capabilities of a Stacked Autoencoder, providing insights into feature compression and manifold visualization.
Meow fellow cat enthusiasts! 🐾 Welcome to my pawsome project where I've crafted a feline-focused image classifier using the legendary VGG16 model.
Explore regression on the California Housing dataset with a custom Huber loss function implemented using TensorFlow and Keras. This project showcases the creation of a neural network for regression, emphasizing the flexibility of custom loss functions in handling outliers.
Starter repo for task 1 of the JPMC software engineering program
Starter repo for task 2 of JPMC's forage program
Starter repo for task 3 of JPMC's Forage program
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