Classification 2: Train a model – HALCON Deep Learning скачать в хорошем качестве

Classification 2: Train a model – HALCON Deep Learning

In the second part of this tutorial series on HALCON’s deep-learning-based classification, you will learn how to train a classification model with MVTec HALCON. We will have a look at some hyperparameters that influence the training progress, like for example the learning rate. Additionally, we will learn how and when to augment your data. Lastly, we will have a look how to interpret the extensive training progress visualization. For example, we will examine the ‘top-1-error’, which is used to evaluate the performance of the model during training. 0:00 Intro 0:29 Select a suitable device for the training 0:53 Training hyperparameters: learning rate, batch size, epochs, … 2:47 Augment the training data 3:36 Visualization of the training progress In this video, a pre-release version of HALCON 21.05 is used. www.mvtec.com www.halcon.com