Blogs
In the symphony of intellectual exploration, each note of inquiry contributes to the harmonious development of a well-rounded and enlightened self.
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.