On successful completion of this course, students will be able to: explain fundamental concepts of machine learning; solve problem related to computer engineering using deep neural network; build a simulation / deep learning application using open-source software libraries and image processing tools ; explain acquired knowledge related to deep learning, neural network design, and its application.
- Introduction to Deep Learning;
- Mathematical Building Blocks of Neural Networks;
- Introduction to Keras and TensorFlow;
- Neural Network Classification and Regression;
- Fundamentals of Machine Learning;
- Universal Workflow of Machine Learning;
- Neural Network Model with Keras;
- Introduction to Deep Learning for Computer Vision;
- Advanced Deep Learning for Computer Vision;
- Deep Learning for Timeseries;
- Deep Learning for Text;
- Generative Deep Learning;
- Project Presentation.
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