Location: Conference Room
Madrid Institute of Materials Sciences (ICMM)
Sor Juana Ines de la Cruz, 3
Cantoblanco, 28049
Madrid, Spain
Duration: 9:00h-17.00h
Main subject of the course: Machine and Deep Learning in microscopy (C6)
Concepts to covered: The perceptron. Single layer artificial neural networks. Deep and Convolutional neural networks. Selected applications: trajectory prediction, computer vision, feature extraction, classification
Theoretical session: open to the whole scientific community
9.00-10.00h: Training a Dense Neural Network (J. Pineda, H. Klein, C. Manzo) (link for recording)
10.00-11.00h: Classifying the MNIST Digits with a Dense Neural Network (J. Pineda, H. Klein, C. Manzo)
11.00-11.30h: Break
11.30-12.30h: Fitting Data with a Neural Network (J. Pineda, H. Klein, C. Manzo) (link for recording)
12:30-13:30h: Simulating the Forces Acting on an Optically Trapped Particle (J. Pineda, H. Klein, C. Manzo)
13.30h-15.00h: Lunch break
Practical session: restricted to the SPM4.0 doctoral candidates (Lab-S07)
15.00-16.00h: Processing Images with Convolutional neural networks (J. Pineda, H. Klein, C. Manzo)
16.00-17.00h: Classifying Blood Smears/Localizing Microscopic Particles with a Convolutional Neural Network (J. Pineda, H. Klein, C. Manzo)
This project has received funding from the European Union's Horizon Europe research and innovation programme under Grant Agreement n°101168976
