Data Analytics, Deep Learning, and Machine Learning - Public Seminar
Sabancı Üniversitesi bünyesinde, sizler ve ilgili akademisyenleriniz katılmak ister ise aşağıya kayıt linklinin doldurulması yeterli olacaktır.
Seminer ücretsiz olup, İstanbul Teknopark'da düzenleniyor olacak.
Highlights
· Practical Knowledge of Machine Learning and discover new MATLAB® features
· Classification Learner and Regression Learner app: training classification and regression models via a simple graphical user interface
· Deep Learning: training and inference on CPUs or GPUs made accessible via a few lines of MATLAB code
· GPU Coder: Deployment of deep learning algorithms and vision algorithms onto embedded GPUs via automatic CUDA code generation
Who Should Attend
· Everybody interested in Data Analytics, Deep Learning, and Machine Learning
Agenda
Time | Title |
09:00 | In the first session, we will look at classical machine learning approaches to classification and regression problems. We will discuss how multiple CPUs speeds up the training process at the push of a button, and how intuitive apps can help you in choosing the appropriate model. |
10:15 | Break |
10:30 | The second session will cover deep learning techniques to help solve problems such as object detection, object recognition, and classification. We will look at how to set up and train a Convolutional Neural Network (CNN), as well as modifying an existing CNN to fit a new purpose (transfer learning). We will also learn how the MATLAB code can be automatically converted to CUDA code, and then deployed on to GPUs. |
12:00 | Seminar ends |