YoVDO

Introduction to Deep Learning - Episode 34

Offered By: Microsoft via YouTube

Tags

Deep Learning Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Python Courses Neural Networks Courses Keras Courses

Course Description

Overview

Dive into the world of deep learning with this comprehensive 2-hour video from Microsoft's AI Show Live. Gain a gentle overview of AI, machine learning, and deep learning concepts from experts Ayşegül Yönet and Bea Stollnitz. Follow along with a hands-on demo of a simple neural network using Keras, and explore topics such as choosing the right algorithm, data requirements, and AI applications in various industries. Learn about Microsoft's AI initiatives, advancements in diagnostic medicine, and how to get started with AI using Python. Engage with Q&A sessions covering voice and text ML, bounded least squares algorithm, and making predictions. Access additional resources, including tutorials, blog posts, and Azure Cognitive Services documentation to further your AI journey.

Syllabus

Introduction.
Overview of what's in this show and next one.
What is AI, Machine Learning and Deep Learning?.
Hardest part is to choose the correct algorithm.
How do you know you have enough data for deep learning?.
What is "big data"?.
Does neural networks accurately simulate neurons?.
​Is deep learning coming closer to strong AI already?.
Can I write AI code only using C#?.
What are the AI tools using for tracking system in Car / taxi businesses?.
Is Microsoft planning something big on AI? https://aka.ms/IgniteDataAI.
Windows 11.
Advancements in AI in diagnostic medicine.
How to get started with AI using Python?.
Demo: follow along at https://aka.ms/LearnKeras.
Is there any blog or tutorial that is about ML for voice and text?.
What is bounded least squares algorythm?.
Back to how you choose which method question: https://bea.stollnitz.com/blog/.
Making prediction.
Summary.


Taught by

Microsoft Developer

Tags

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Artificial Intelligence for Robotics
Stanford University via Udacity
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent