Neural Designer is a software tool for machine learning based on neural networks, a main area of artificial intelligence research, and contains a graphical user interface which simplifies data entry and interpretation of results. In 2015, Neural Designer was chosen by the European Commission, within the Horizon 2020 program, as a disruptive technology in the ICT field. (Wikipedia).
What Do Graphic Designers Do?: Understanding Design
According to the American Institute of Graphic Arts, graphic designers practice the art of projecting ideas and experiences with visual and textual content. Graphic designers use a range of tools to convey information in aesthetically pleasing and legible formats. Join Prasad Boradkar, a
From playlist Understanding Design
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Graphic Design
What Do Designers Do?: Understanding Design
Designers are instrumental in a broad range of disciplines, including architecture, graphic design, industrial design, landscape architecture, service design and transportation design. Prasad Boradkar, a professor emeritus of industrial design at Arizona State University, takes you on a
From playlist Understanding Design
What Is Industrial Design?: Understanding Design
Industrial design, which is also known as product design, is the creation of consumer goods, from the smallest spoon to the largest machine. Industrial designers seek to optimize the function, value and appearance of products and systems. Join Prasad Boradkar, a professor emeritus of ind
From playlist Understanding Design
What is Sustainable Design?: Understanding Design
Sustainable design and development should meet the needs of people in the present without compromising the needs of future generations. According to serial entrepreneur John Elkington, organizations need to consider profit, people and the planet when thinking about new innovations. Join
From playlist Understanding Design
What Is Design?: Understanding Design
Design is the process of creating objects, systems, buildings and more. In this video, you’ll learn to answer the question, what is design, with broad definitions from a famous economist, philosopher and Swiss architect. Prasad Boradkar, a professor emeritus of industrial design at Arizon
From playlist Understanding Design
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Design Thinking
Design thinking can improve anything from a water bottle to a community water system. See how design thinking improves the creative process, from Professor Stefanos Zenios: http://stanford.io/1mgkHGR
From playlist More
Free Online Design Courses: Understanding Design
Design is all around us. Design solves problems by converting ideas into reality. Design influences culture and changes society. When done well, design can inspire us with its beauty. Design makes the world a better place for all creatures on the planet. Join Prasad Boradkar, a professor
From playlist Understanding Design
Meta-Learning is one of the most interesting methods powering next-generation Deep Neural Networks. This video will explain the idea of using Search algorithms to design Neural Network layers! Thanks for watching, please Subscribe for more Deep Learning videos! Paper Link: https://arxiv.
From playlist Neural Network Design
CS224W: Machine Learning with Graphs | 2021 | Lecture 7.1 - A general Perspective on GNNs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3BjIqNd Lecture 7.1 - A General Perspective on Graph Neural Networks Jure Leskovec Computer Science, PhD In this lecture, we introduce a general perspective on gra
From playlist Stanford CS224W: Machine Learning with Graphs
DDPS | Towards automatic architecture design for emerging machine learning tasks | Misha Khodak
Hand-designed neural networks have played a major role in accelerating progress in traditional areas of machine learning such as computer vision, but designing neural networks for other domains remains a challenge. Successfully transferring existing architectures to applications such as se
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Interpretable Neural Networks for Panel Data Analysis in Economics | AISC
For slides and more information on the paper, visit https://ai.science/e/interpretable-neural-networks-for-panel-data-analysis-in-economics--fr9lyZxVFVPjoniQb1uR Speaker: Yucheng Yang; Host: Jiri Stodulka Motivation: Even though deep learning and sufficient amount of data may lead to st
From playlist ML in Economics
David Ha - Collective Intelligence for Deep Learning: A Survey of Recent Developments
Recorded 17 February 2022. David Ha of Google Brain presents "Collective Intelligence for Deep Learning: A Survey of Recent Developments" at IPAM's Mathematics of Collective Intelligence Workshop. Abstract: In the past decade, we have witnessed the rise of deep learning to dominate the fie
From playlist Workshop: Mathematics of Collective Intelligence - Feb. 15 - 19, 2022.
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Recorded 10 January 2023. Osbert Bastani of the University of Pennsylvania presents "Interpretable Machine Learning via Program Synthesis" at IPAM's Explainable AI for the Sciences: Towards Novel Insights Workshop. Abstract: Existing approaches to interpretability largely focus on fixed mo
From playlist 2023 Explainable AI for the Sciences: Towards Novel Insights
CS224W: Machine Learning with Graphs | 2021 | Lecture 9.2 - Designing the Most Powerful GNNs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3nGksXo Jure Leskovec Computer Science, PhD In this lecture, we aim to design a maximally expressive GNN model. Our key insight is that a maximally expressive GNN
From playlist Stanford CS224W: Machine Learning with Graphs
GRCon21 - An Open Channel Identifier using GNU Radio
Presented by Ashley Beard and Steven Sharp at GNU Radio Conference 2021 In this paper, we address the problem of radio spectrum crowding by using a stochastic gradient descent neural network algorithm on simulated cognitive radio data to identify open and closed channels within a specifie
From playlist GRCon 2021
Tensors for Neural Networks, Clearly Explained!!!
Tensors are super important for neural networks, but can be confusing because different people use the word "Tensor" differently. In this StatQuest, we clear this up and tell you what the big deal is. BAM! NOTE: If you are not already familiar with Neural Networks, check out the Neural Ne
From playlist StatQuest
What Is Interaction Design?: Understanding Design
Interaction design is a new field of design originated by Bill Moggridge and Bill Verplank. Interaction design focuses on the ways people interact with objects, such as the range of new electronic devices you use today. Join Prasad Boradkar, a professor emeritus of industrial design at A
From playlist Understanding Design
Deep Learning Frameworks 2019 | Which Deep Learning Framework To Use | Deep Learning | Simplilearn
This Deep Learning tutorial covers all the essential Deep Learning frameworks that are necessary to build AI models. In this video, you will learn about the development of essential frameworks such as TensorFlow, Keras, PyTorch, Theano, etc. You will also understand the programming languag
From playlist Deep Learning Tutorial Videos 🔥[2022 Updated] | Simplilearn