Course description
MicroDegree™ in Deep Learning (Level I & II)
Learn the mathematical basis of deep learning. You will then learn to implement concepts such as multilayer perceptrons, backpropagation, optimization methods, and neural networks into a production-grade systems.
Machine Learning
Course Duration: 3 months
Learn to build classification, regression, and clustering models using scikit-learn and other tools
Deep Learning
Course Duration: 3 months
Learn the mathematical basis of deep learning. You will then learn to implement concepts such as multilayer perceptrons, backpropagation, optimization methods, and neural networks into a production-grade systems.
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Upcoming start dates
Who should attend?
- Basic knowledge of linear algebra and calculus
- Knowledge of probability and statistics
- Programming experience in Python and OOP
- The ability to run programs and interpret output from a command line terminal or shell
Course delivery details
Session Length: 2 hours/week
Certification / Credits
- To learn the mathematical basis of deep learning.
- To implement concepts such as multilayer perceptrons, backpropagation, optimization methods, and neural networks architectures such as CNN, RNN, Attention, GAN into a production-grade systems.
Continuing studies
Immediate job market outcome
- ML engineer with focus on Deep Learning
- Jr. Data Scientist
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Enhance International Group
Enhance International Group (EIG) is an Exchange of Passionate Experts to Guide Your Transformation to provide Self-Generating and Self-Funding Results. We have over 50 consultants, consulting companies and SaaS thought leader providers that have been vetted as best-in-class. EIG serves...