Opening book details…
About this book
Dimensions Underlying the Representational Alignment of Deep Neural Networks with Humans by Florian P. Mahner & Lukas Muttenthaler & Umut Güçlü & Martin N. Hebart is a book available to read on EtoBox.
- Author
- Florian P. Mahner & Lukas Muttenthaler & Umut Güçlü & Martin N. Hebart
- Publisher
- x
- Published
- 2025
- Language
- EN
More by Florian P. Mahner & Lukas Muttenthaler & Umut Güçlü & Martin N. Hebart
Browse all works by Florian P. Mahner & Lukas Muttenthaler & Umut Güçlü & Martin N. Hebart
Similar books
- Deep-learning-aided Dismantling of Interdependent Networks — Weiwei Gu & Chen Yang & Lei Li & Jinqiang Hou & Filippo Radicchi (2025)
- Deep Learning with TensorFlow : Explore Neural Networks with Python — Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy (2017)
- Modelling Neural Coding in the Auditory Midbrain with High Resolution and Accuracy — Fotios Drakopoulos & Lloyd Pellatt & Shievanie Sabesan & Yiqing Xia & Andreas Fragner & Nicholas A. Lesica (2025)
- Dermatologist-level Classification of Skin Cancer with Deep Neural Networks — Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun (2017)
- Target-specific de Novo Design of Drug Candidate Molecules with Graph-transformer-based Generative Adversarial Networks — Atabey Ünlü & Elif Çevrim & Melih Gökay Yiğit & Ahmet Sarıgün & Hayriye Çelikbilek & Osman Bayram & Deniz Cansen Kahraman & Abdurrahman Olğaç & Ahmet Sureyya Rifaioglu & Erden Banoğlu & Tunca Doğan (2025)
- Deep Learning with JavaScript : Neural Networks in TensorFlow.js — Stanley Bileschi; Eric Nielsen; Shanqing Cai (2020)