Astraios Courses178
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Machine learning  

Description

Machine learning language environments (PyTorch, TensorFlow, Keras, SciKit-Learn, NumPy). Linear and nonlinear regression, polynomial curve fitting, and classification. Bias- variance trade-off. Radial basis functions. Neural networks. Activation functions, optimization algorithms. Cross-validation, regularization, bootstrap. Convolutional neural networks and visual data analysis. Batch-normalization, Dropout. Pre-trained models. Transfer learning. Detection of the objects by U-Net type networks. Recurrent neural networks in series analyses. Generative adversarial neural networks.

Delivery mode

Presential
English

Name

Machine learning
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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