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Deep Learning is the fastest-growing field in Machine Learning and highly crucial for Artificial Intelligence, using many layered Deep Neural Networks (DNNs) to make sense of data and enable many practical machine assists. This course introduces students to Deep Learning as a subject within advanced Artificial Intelligence and provides several real-life problem sets that can be solved using Deep Learning neural networks.
Learning Objective
• Understand the intuition behind Artificial Neural Networks
• Understand the intuition behind Convolutional Neural Networks
• Apply Artificial Neural Networks in practice
• Apply Convolutional Neural Networks in practice
• Understand the intuition behind Recurrent Neural Networks
• Apply Recurrent Neural Networks in practice
Anyone interested to learn more about Deep Learning, or kickstart a career as a Data Scientist. This includes Students, Data Analysts, Developers, Business Owners, Engineers, Product Architects, Entrepreneurs or any individual who wishes to leverage on powerful Deep Learning tools to add value, wherever they are.
Students must have knowledge in basic high-schoolmathematics
Required Software
Anaconda for Python (version 3.x) Optionally Sublime Text