Deep learning is a machine learning technique that learns features and tasks directly from data. This data can include images, text, or sound. The video uses an example image recognition problem to illustrate how deep learning algorithms learn to classify input images into appropriate ca
From playlist Introduction to Deep Learning
Deep Learning with R for Beginners
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. #Deep_learning architectures such as deep neural ne
From playlist Deep Learning
This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730
From playlist Deep Learning | Udacity
Deep Learning Course Purdue University Fall 2016 https://docs.google.com/document/d/1_p4Y_9Y79uBiMB8ENvJ0Uy8JGqhMQILIFrLrAgBXw60
From playlist Deep-Learning-Course
Deep Learned Super-Sampling (DLSS) - Computerphile
Can deep learning improve your gaming experience? We have no idea but we know how it works. Dr Mike Pound on Deep Learned Super Sampling EXTRA BITS: https://youtu.be/4ZkrLfEIJXI https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited b
From playlist Computer Vision: Filters (Blur, Edge Detection etc)
This video follows on from the discussion on linear regression as a shallow learner ( https://www.youtube.com/watch?v=cnnCrijAVlc ) and the video on derivatives in deep learning ( https://www.youtube.com/watch?v=wiiPVB9tkBY ). This is a deeper dive into gradient descent and the use of th
From playlist Introduction to deep learning for everyone
Marc Levoy - Lectures on Digital Photography - Lecture 8 (13apr16).mp4
This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016. A web site that includes all 18 videos, my slides, and the course schedule, applets, and assignments is http://sites.google.com/sit
From playlist Stanford: Digital Photography with Marc Levoy | CosmoLearning Computer Science
Marc Levoy - Lectures on Digital Photography - Lecture 7 (11apr16).mp4
This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016. A web site that includes all 18 videos, my slides, and the course schedule, applets, and assignments is http://sites.google.com/sit
From playlist Stanford: Digital Photography with Marc Levoy | CosmoLearning Computer Science
Deep Reinforcement Learning: Neural Networks for Learning Control Laws
Deep learning is enabling tremendous breakthroughs in the power of reinforcement learning for control. From games, like chess and alpha Go, to robotic systems, deep neural networks are providing a powerful and flexible representation framework that fits naturally with reinforcement learni
From playlist Reinforcement Learning
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Illustration of the benefits of oversampling signals when using practical analog anti-aliasing and anti-imaging filters.
From playlist Sampling and Reconstruction of Signals
OpenGL - Multisample Anti-Aliasing
Code samples derived from work by Joey de Vries, @joeydevries, author of https://learnopengl.com/ All code samples, unless explicitly stated otherwise, are licensed under the terms of the CC BY-NC 4.0 license as published by Creative Commons, either version 4 of the License, or (at your o
From playlist OpenGL
Deep Learning - Deep Learning Dictionary
What is deep learning? 👉 To gain early access to the full Deep Learning Dictionary course, register at: 🔗 https://deeplizard.com/course/ddcpailzrd 👉 For more in depth lessons, check out the Deep Learning Fundamentals course: 🔗 https://deeplizard.com/course/dlcpailzrd 🕒🦎 VIDEO SECTIONS 🦎
From playlist Deep Learning Dictionary - Lightweight Crash Course
Lecture 18, Discrete-Time Processing of Continuous-Time Signals | MIT RES.6.007 Signals and Systems
Lecture 18, Discrete-Time Processing of Continuous-Time Signals Instructor: Alan V. Oppenheim View the complete course: http://ocw.mit.edu/RES-6.007S11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT RES.6.007 Signals and Systems, 1987
Linear regression as a shallow neural network
It's time for everyone involved or interested in healthcare to learn about deep neural networks. In this video I continue with the example of linear regression to build an intuitive understanding of deep learning. It all comes together in this video and after watching it, we will be one
From playlist Introduction to deep learning for everyone
Helicopter Physics Series - #3 Upside Down Flying With High Speed Video - Smarter Every Day 47
I would appreciate it if you share this by clicking here: http://on.fb.me/UpsideDownChopper . Sorry about the Ad, I'm saving for the kid's college education and this is my plan to pay for it. There's more to Chopper Physics than you think. I will be releasing the videos at the end of the
From playlist How Helicopters Work Deep Dive
Use Cases - Ep. 12 (Deep Learning SIMPLIFIED)
Despite its popularity, machine vision is not the only Deep Learning application. Deep nets have started to take over text processing as well, beating every traditional method in terms of accuracy. They also are used extensively for cancer detection and medical imaging. When a data set has
From playlist Deep Learning SIMPLIFIED
Multithreaded Python Will Save Hours of Your Life
In This tutorial you are going to learn how to parallelize your data preprocesing to get massive time savings in your data science career. It's actually reasonably straight forward, and only entails a few extra lines of code for all these time savings. Learn how to turn deep reinforceme
From playlist AI For Beginners
TU Wien Rendering #29 - Path Tracing Implementation & Code Walkthrough
Now that we know how path tracing works, we put in to code close to everything we've learned so far and will now implement a full global illumination path tracer from scratch in just 250 lines of C++ code. Imagine that all this knowledge we've amassed can be compressed into such a small pr
From playlist TU Wien Rendering / Ray Tracing Course
How To Do Face Detection And Tagging In Video With Deep Learning | Introduction | #AI
Don’t forget to subscribe! In this project series, you will learn how to do face detection and tagging in video with deep learning. In this project, you are going to learn how to use deep neural networks for face detection, tracking, and redaction. Face recognition is a broad problem o
From playlist Face Detection And Tagging In Video With Deep Learning
Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 15 - Add Knowledge to Language Models
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/31fNyFN To learn more about this course visit: https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning To follow along with the course
From playlist Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021