You'll learn building a hBuild a human pose estimation web app and deploy it to Streamlit sharing and Google Colab for free using OpenCV and OpenPoseuman pose estimation web app and deploy it to Streamlit sharing and Google Colab for free
Introduction I am very interested in using data in baseball or any other sports applications. Human pose estimation is one of the very interesting fields. If we are able to quantify the human pose of a movement such as a baseball swinging or pitching into data, then we might be able to translate the data into useful insights, such as injury prevention, or advanced training. There are some open-source human pose estimations such as PoseNet and OpenPose. OpenPose is developed by CMU team and has been widely used. I decided to try it for my application. Inspired by this tutorial by Vikas Gupta, I modified the code and created a web application using Streamlit and deploy it to Streamlit share, and also Google Colab using its GPU.
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different