Pre-Trained Machine Learning Models vs Models Trained from Scratch
From the Abstract: We report competitive results on object detection and instance segmentation on the COCO dataset using standard models…
Dataset Augmentation for Computer Vision and Why You Might Be Doing It Wrong
Photo by Stephen Kraakmo on Unsplash Lack of large-scale labeled datasets is a severely limiting factor in training Deep…
Using Pre-Trained NLP Models for Sentence Similarity
Photo by Towfiqu barbhuiya on Unsplash Introduction Natural Language Processing (NLP) is a type of artificial intelligence in which computers…
Introduction to Text Wrangling Techniques for Natural Language Processing
What is Text Wrangling? Although is has many forms, text wrangling is basically the pre-processing work that’s done to prepare…
A Vision for the Future: How Computer Vision is Transforming Robotics
The goal of computer vision research is to teach computers to recognize objects and scenes in their surroundings. As robots…
The 3 Deep Learning Frameworks For End-to-End Speech Recognition That Power Your Devices
Introduction Speech recognition is invading our lives. It’s built into our phones (Siri), our game consoles (Kinect), our smartwatches (Apple…
Computer Vision at Tesla
This article has been updated on https://www.thinkautonomous.ai/blog/?p=computer-vision-at-tesla Photo by Vlad Tchompalov on Unsplash Tesla’s Autopilot is certainly the most advanced…