Ìý
- Specialization:ÌýMachine Learning
- Instructor:ÌýGeena Kim, Assistant Teaching Professor
- Prior knowledge needed:ÌýCalculus, Linear algebra, Python
Learning OutcomesÌý
- Explain what multilayer perceptrons, convolutional neural networks and recurrent neural networks are and how they work.
- Build and train neural network models using deep learning libraries such as Keras.
- Tune hyperparameters of a neural network model and an optimizer to improve performance.
- Choose and/or design neural network architectures.
- Explain how optimization and weight update works in neural network training
Course Content
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