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Kadenze

8 Courses

California Institute of Technology
Kadenze

Machine Learning for Music Information Retrieval

An introduction to data mining through the lens of music information retrieval. Topics explored include classification (genre, mood, instrument), multi-label classification (tagging), and regression (emotion/mood). University: Provider: Kadenze Categories: Machine Learning Courses, Data Mining Courses, Regression Analysis Courses
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provider Kadenze
pricing $350.00
duration 50 hours
sessions On-Demand
California Institute of Technology
Kadenze

The Modern Music Technologist

The Modern Music Technologist The role of the music technologist has changed throughout history, though one trait has stayed consistent: the necessity for the individual to operate across multiple mediums and disciplines. This project-based course provides an opportunity to synthesize the key concepts and skills learned in the Foundations of Musi.
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provider Kadenze
pricing Paid Course
duration 40 hours
sessions On-Demand
California Institute of Technology
Kadenze

Creative Applications of Deep Learning with TensorFlow II

Delve deeper into the world of artificial intelligence with the course "Creative Applications of Deep Learning with TensorFlow II," brought to you by Kadenze. Building on the foundations laid in the first course, this sequel explores the latest achievements in recurrent neural networks, offering a comprehensive guide to extending Deep Learning prac.
provider Kadenze
pricing Paid Course
sessions On-Demand
California Institute of Technology
Kadenze

Advanced Generative Art and Computational Creativity

Explore the frontiers of creativity with our "Advanced Generative Art and Computational Creativity" course, presented by Kadenze. This comprehensive program delves deep into the realm of generative arts and computational creativity, focusing on the sophisticated formal paradigms and algorithms that fuel creation. Learn about the application of evol.
course image
provider Kadenze
pricing Paid Course
sessions On-Demand
California Institute of Technology
Kadenze

Creative Applications of Deep Learning with TensorFlow III

Explore the frontier of deep learning with our comprehensive course, "Creative Applications of Deep Learning with TensorFlow III". Dive deeper into the world of deep learning as we extend our expertise to cutting-edge techniques in audio, image, and text modeling. Discover the efficiency of dilated convolutions through WaveNet for modeling long-ter.
course image
provider Kadenze
pricing Paid Course
sessions On-Demand
California Institute of Technology
Kadenze

Creative Applications of Deep Learning with TensorFlow

Embark on a journey into the world of AI with the transformative course, "Creative Applications of Deep Learning with TensorFlow". This seminal offering, the first in a two-part series, demystifies the cutting-edge realm of deep learning — the backbone of modern artificial intelligence strategies. Through comprehensive coverage, participants will g.
provider Kadenze
pricing Free Online Course
sessions On-Demand
California Institute of Technology
Kadenze

Machine Learning for Musicians and Artists

Immerse yourself in the captivating world of technology and art with our "Machine Learning for Musicians and Artists" course, offered by Kadenze. This innovative course is designed for creatives eager to explore the intersection of machine learning and the arts, including music, dance, and visual arts. Whether you dream of crafting a new musical in.
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provider Kadenze
pricing Free Online Course
duration 7 weeks
sessions On-Demand
California Institute of Technology
Kadenze

Generative Art and Computational Creativity

Embark on a pioneering journey into the world of Generative Art and Computational Creativity, a course offered by Kadenze. This introductory course, the first in a compelling two-part program, takes a deep dive into the history, theories, and practices of generative arts and computational creativity. Guided by Philippe Pasquier, Associate Professor.
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provider Kadenze
pricing Free Online Course
duration 12 weeks
sessions On-Demand

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