Deep Learning
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About this course
"Deep Learning" gives an overview of the basic types of neural networks and how to train them.
Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), as well as Transformers, and gives an outlook on effective training and efficient fine-tuning of large multi-modal models.
Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), as well as Transformers, and gives an outlook on effective training and efficient fine-tuning of large multi-modal models.
What you'll learn
- understand the different types of neural networks
- apply training techniques for effective learning
- utilize Convolutional and Recurrent Neural Networks
- gain familiarity with Transformers and their applications
Course objectives
- provide an overview of neural networks
- teach effective training methods
- explain the components of deep learning models
Skills you'll gain
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