D

deeplearning

This repository is a testament to my journey of learning Tensor Flow from scratch (basics to intermediate level) using Google’s official Tensor-Flow documentation.

This repository presents EffiSwinT, a novel hybrid architecture combining EfficientNet-B3 and Swin Transformer for robust deepfake detection. The model leverages the complementary strengths of both architectures: EfficientNet's efficient feature extraction and Swin Transformer's hierarchical representation learning capabilities.

In this project, we will be exploring the hotel reviews and the rating base on customer hotel experience. We will be also looking at feature engineering and designing a deep learning model to predict ratings based on reviews.

Performance Comparison of S-O-T-A, Transformer Based Language Models, like BERT & XLNet in Legal domain. Studying impacts of additional (domain-specific) pre-training on BERT in Legal domain. Exploring impacts of Introducing Legal Vocabulary in BERT.

Image Classification using Deep Convolutional Neural Networks