Deep learning in medical imaging – 3D medical image segmentation with PyTorch
The basic MRI foundations are presented for tensor representation, as well as the basic components to apply a deep learning method that handles the ta…
Category: PyTorch
PyTorch, backed by Facebook’s AI Research lab (FAIR), is beloved for its dynamic computation graph, making it a popular choice for researchers and developers for building deep learning models.
Tokenizers: How machines read
We will cover often-overlooked concepts vital to NLP, such as Byte Pair Encoding, and discuss how understanding them leads to better models.
Emil’s Story as a Self-Taught AI Researcher
This Humans of Machine Learning interview covers Emil Wallner and his hero’s journey, self-taught approach to education, experience with AI, and pat…
Distilling knowledge from Neural Networks to build smaller and faster models
This article discusses GPT-2 and BERT models, as well using knowledge distillation to create highly accurate models with fewer parameters than their t…
Introduction to Adversarial Machine Learning
Machine learning advancements lead to new ways to train models, as well as deceive them. This article discusses ways to train and defend against attac…
Attention Mechanism
What is Attention, and why is it used in state-of-the-art models? This article discusses the types of Attention and walks you through their implementa…
