All my posts

This article introduces federated learning, a modern approach to machine learning that preserves data privacy during model training. Unlike centralized learning, where data is collected in a single location, federated learning enables models to be trained directly on users' devices, without sharing the raw data.

This article introduces generative adversarial networks (GANs), a state-of-the-art deep learning technique. GANs use two neural networks in an adversarial game to generate synthetic data, with applications in image, audio, and video synthesis. The aim is to provide an overview of GANs' generative process and their immense potential.

This article gives an in-depth overview of the Transformer architecture, which has revolutionized natural language processing. It focuses on attention blocks, the key component of the model that establishes parallel and contextual connections between words in a sentence.

This article explains neural style transfer, an AI technique combining the visual content of one image with the artistic style of another. It details how convolutional neural networks capture content and style, and how iterative optimization blends the two into a new hybrid image. A clear guide to this generative deep learning approach.