Setting Up the GPU Droplet Environment for AI/ML Coding – Jupyter Labs
In this tutorial, we show how to setup and launch a Jupyter Labs environment in a GPU cloud servers.
Face Generation with GANs
A primer for developing a custom neural network to learn to generate novel facial images using Deep Convolutional generative adversarial networks.
Introduction to DETR – Part 1
DETR introduces a completely new architecture, setting a new standard in the object detection field. In this article, we explore the Detection Transformer (DETR) concept, highlighting its groundbreaking approach and the significant advancements it brings to object detection technology.
5 Genetic Algorithm Applications Using PyGAD
Explore five real-world ways to use genetic algorithms with PyGAD, from solving puzzles to training AI models.
C++ foreach Loop: Modern Patterns and AI-Optimized Code
Master C++ foreach loops with modern optimization techniques and AI-generated patterns. Learn performance how to leverage LLMs for C++ usage.
Model Interpretability and Understanding for PyTorch using Captum
In this blog post, we examine Captum, which supplies academics and developers with cutting-edge techniques, such as Integrated Gradients, that make it simple to identify the elements that contribute to a model’s output. We then put these techniques to use in a coding demo with ResNet.
How To Build a Neural Network to Recognize Handwritten Digits with TensorFlow
Neural networks are used as a method of deep learning, one of the many subfields of artificial intelligence. They were first proposed around 70 years ago, as an attempt at simulating the way the human brain works, though in a much more simplified form. Individual ‘neurons’ are…
Understanding Feedforward and Feedback Networks (or recurrent) neural network
Explore the key differences between feedforward and feedback neural networks, how they work, and where each type is best applied in AI and machine learning.
Understanding AI Image Generation: Models, Tools, and Techniques
Discover AI image generation with an overview of key models, tools, and techniques to create high-quality visuals from text prompts.
How To Apply Computer Vision to Build an Emotion-Based Dog Filter in Python 3
In this tutorial, you will explore computer vision as you use pre-trained models to build a Snapchat-esque dog filter and apply masks based on whether you’re happy or sad.