Advanced Applied Deep Learning in Physics and Engineering

Utbildningsfakta

Kod: 1FA006

In this course, you will delve into advanced concepts in neural networks and deep learning. You will explore techniques such as Graph Neural Networks, Generative models, quantized networks, and more, along with practical skills in using tools like TensorFlow, PyTorch, and JAX. These topics will be illuminated with examples from current research in physics and technology. Upon completion of the course, you will be able to design custom neural network architectures for problems in physics and technology, handle complex datasets for training, and choose the right deep learning tools for different problems, making you ready for advanced applications in these fields.

Behörighet

120 credits in science/engineering. Applied Deep Learning in Physics and Engineering. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Advanced Applied Deep Learning in Physics and Engineering

  Uppsala University

  Uppsala

  Startdatum: 22 mars 2027

  Slutdatum: 6 juni 2027

  Studietakt: 33 %