-
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 Learning…
-
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…
-
Fine-tuning BERT for text classification
Photo by Pawel Czerwinski on Unsplash BERT — Bidirectional Encoder Representations from Transformers — is a pre-trained language model for…
-
Deep learning-based video summarization — A detailed exploration
Photo by Jakob Owens on Unsplash With the immense growth of videos on the internet, it’s become really difficult to…
-
End-to-End Deep Learning Project with PyTorch & Comet ML
Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives.…