Sequence Modeling with Neural Networks
Explore sequence modeling with neural networks, focusing on RNNs, their challenges, and solutions like gated cells. Learn applications in music generation and machine translation.
Preprocessing Song Dataset for Melody Generation
Collate encoded songs, create integer mapping for symbolic notation, and prepare data for neural network ingestion in melody generation preprocessing.
Training a Long-Short Term Memory Network for Melody Generation
Build and train an LSTM network for generating folk melodies using Tensorflow and Keras. Learn preprocessing, model architecture, training sequences, and testing the final model.
Preprocessing Song Dataset for Melody Generation - Pt. 2
Explore encoding songs as time series for LSTM-based melody generation, focusing on data representation techniques for effective neural network input.
Music Generation via Masked Acoustic Token Modeling
Explore innovative music synthesis using acoustic token modeling and parallel iterative decoding. Learn about flexible audio generation techniques and their applications in music creation.
Generative Grammars for Music Generation - Lecture 9
Explore generative grammars and Lindenmayer Systems for music creation. Learn to design effective algorithms, expand musical grammars, and apply key guidelines for AI-driven composition.
Autoregressive Long-Context Music Generation with Perceiver AR
Explore autoregressive long-context music generation using Perceiver AR, presented by DeepMind's Cătălina Cangea. Gain insights into cutting-edge AI techniques for creating music.
Transformers for Generative Music AI - Part 2: Decoder and Music Generation
Explore transformer architecture for music AI, focusing on decoder components, masked attention, and practical tips for generating music. Dive into future research and neuro-symbolic integration for robust music generation.
Generative AI: Disruptions and Implications for Institutions, Enterprises and Society
Explore the impact of generative AI on institutions, enterprises, and society. Learn about deployment, scalability, sustainability, and governance of this powerful technology.
Genetic Algorithms for Generative Music AI - Lecture 15
Explore genetic algorithms for music generation, covering key concepts, applications, and step-by-step processes. Learn about music encoding, fitness functions, and interactive approaches in AI-driven composition.
5 Open Source Generative Music AI Models You Can't Miss
Explore five cutting-edge open-source AI models for music generation, covering both symbolic and audio domains, to enhance your AI music systems development.
Creating an AI Musician with JavaScript
Explore AI-generated music using JavaScript and TensorFlow. Learn to create digital instruments, compile songs, and ponder the implications of computer-made music on listener perception.
What to Build with AI - Ideas from 10 Hugging Face Spaces
Explore 10 innovative AI applications on Hugging Face Spaces, from math problem-solving to virtual try-ons, music generation, and image manipulation, showcasing the diverse capabilities of modern AI technologies.
Music Generation with Magenta - Using Machine Learning in the Arts
Explore machine learning for music generation using Magenta. Learn about neural networks, train models on your style, and create new rhythms, melodies, and audio clips.
Creative AI - Using ML to Create Art, Music, and Jokes - Lecture 113
Explore AI's creative potential in art, music, and humor through open-source ML models. Gain insights into strengths, limitations, and societal impacts, with live demos and code walkthroughs of innovative projects.
Against the Grid: Explorations in Musical Rhythm | Pascal Le Boeuf | TEDxMIT
How can musical rhythm offer new creative and expressive possibilities? Drawing on contemporary compositions and interactive examples, this talk rethinks irregular rhythm as a powerful tool for expression, showing listeners and musicians how challenging rhythms can feel intuitive, fluid, and express
Rewriting the Music Experiences | Sourabh Pateriya | TEDxSIU Lavale
NOTE FROM TED: TEDx events are independently organized by volunteers. The guidelines we give TEDx organizers are described in more detail here: http://storage.ted.com/tedx/manuals/tedx_content_guidelines.pdf What if sound was not just something we hear; but something we inhabit? We explore how te
From Turntables to Neural Networks: How AI Is Remixing the Art | Előd Császár | TEDxBudapest Salon
This talk reflects on a creative journey from music to visual art, and on how artificial intelligence can act as a new kind of creative partner. Through personal experience, it explores how AI reshapes ideas of originality, authorship, and artistic identity. The talk invites the audience to see tech
Melodies And Infinity | Konstantinos Drosinakis | TEDxYouth@EEB3
My talk will be about music, and more specifically, melodies, and a relation with infinity. If we take a certain melody, we can reproduce infinitely it in terms of some parameters (speed, pitch etc.). We can then add more to that melody, such as harmony, more melodies and we can layer it into voices
數位藝境內找尋界線 | 嘉威 簡 | TEDxChung Cheng U
對他而言，雖然近年常於爵士活動場合擔任 DJ，但爵士樂不單只是他所熱愛的音樂類型，更是一種生活態度的展現。期望能藉由自己的作品，讓大眾理解到「爵士樂」其實並不無趣，放下既有印象去感受音樂，才能從中去找尋到，屬於自己真正喜歡的聲音。 Mr. Kloud 是個徹頭徹尾的音樂宅 DJ。與我們所認知的 DJ 不同之處是，他的作品中以黑膠作為演出媒介，揉合各式各樣的音樂類型，打造獨特的音樂聆聽體驗。對他而言，雖然近年常於爵士活動場合擔任 DJ，但爵士樂不單只是他所熱愛的音樂類型，更是一種生活態度的展現。期望能藉由自己的作品，讓大眾理解到「爵士樂」其實並不無趣，放下既有印象去感受音樂，才能從中去找尋到，屬
Лучшая нейросеть для создания изображений - Ideogram AI
Как использовать нейросеть Ideogram AI для генерации изображений? Нейросети для дизайнера - https://cloudlessons.ru/v/490/ Нейросети - это программы, которые повторяют модель человеческих нейронных связей. На их основе создают обучаемые программы, которые можно научить распознавать или в нашем случ