Description

Office 365 for Mac: Learning Word

Duration: 1h 16m | Video: h264, 1280×720 | Audio: AAC, 44100 Hz, 2 Ch | 289 MB Genre: eLearning + Subtitles| Language: English | Skill Level: Beginner
This introductory course is perfect for new users who want to quickly get started with the Office 365 for Mac version of Word. The course first acquaints new users with the Word for Mac interface, and explains how to open, save, and create documents; edit and format text; and work with objects such as images, tables, and charts. Author Nick Brazzi also discusses working with styles and templates and collaborating with others using the Track Changes tool.

Welcome to the ultimate online course on Python for Computer Vision!

This course is your best resource for learning how to use the Python programming language for Computer Vision.

We’ll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.

The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever its necessary for developers to gain the necessary skills to work with image and video data using computer vision.

Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.

As the fastest growing language in popularity,

Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.

In this course we’ll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.

We’ll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Afterwards we’ll learn about direct video topics, such as optical flow and object detection. Including face detection and object tracking.

Then we’ll move on to an entire section of the course devoted to the latest deep learning topics, including image recognition and custom image classifications. We’ll even cover the latest deep learning networks, including the YOLO (you only look once) deep learning network.