Deep Machine Learning
Programme course, 7,5 credits
- Period : 2024-March-25 until 2024-June-02
- Location: Karlskrona
- Type of instruction: On campus, day, part-time 50%
- Main field of study: Computer Science
- Welcome to BTH! Information for admitted students regarding student account, registration and the course Canvas site.
- Language of instruction: English
- Education level: A1N
- Course code: DV2586
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This course is part of a programme and cannot be applied.
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Deep Machine Learning, 7,5 credits
Deep machine learning methods are extensively used in a wide variety of applications in different fields such as speech understanding, computer vision, natural language processing, robotics etc. The purpose of the course is to introduce students to deep learning, from discussing basics of machine learning and neural networks, to understand how Convolutional Neural Networks (CNNs) and recent important advances in deep learning models, such as Deep Recurrent and Recursive Networks, Autoencoders, Generative Adversarial Networks (GAN), Long Short-Term Memory (LSTM), VGG, Resnet and DensNet are designed and work.
