Announcements
A spoken word flies; a written word remains.
CogSci 2025 Submission Reviewer
I reviewed 2 submissions for the 2025 Cognitive Science Society (CogSci) conference.
SAC 2025 Submission Reviewer
I reviewed 2 submissions for the 2025 ACM Symposium on Applied Computing (SAC) Knowledge and Natural Language Processing track.
Joined the University of New Orleans as a PhD Student in Computer Science.
I am currently a PhD student at the University of New Orleans working under Dr. Shreya Banerjee.
CoCa: Contrastive Captioners are Image-Text Foundation Models Visually Explained
Dive deep into the Contrastive Captioner (CoCa) model, an advanced image-text foundation model in machine learning.
Adversarial Attacks on Neural Networks: Exploring the Fast Gradient Sign Method
This article captures the details of how to fool a neural network into making wrong predictions using a very fascinating technique - FGSM.
Unpaired Image to Image Translation with CycleGAN
This article gives insights into the working mechanism of a Generative Adversarial Network and one of its popular variants, the Cycle Consistent Adversarial Network.
Image Captioning With AI
In this tutorial we'll break down how to develop an automated image captioning system step-by-step using TensorFlow and Keras.
Neural Machine Translation with TensorFlow
Learn how to build a neural machine translation model using TensorFlow and the Seq2Seq model architecture.
PyTorch Loss Functions
Follow this guide to learn about the various loss functions available to use with PyTorch neural networks, and see how you can directly implement a custom loss function in their stead.
How to Build a Variational Autoencoder with TensorFlow
Learn the key parts of an autoencoder, how a variational autoencoder improves on it, and how to build and train a variational autoencoder using TensorFlow.