<p>This course will cover the basic concepts of the deep learning; build, train, and apply fully connected deep neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. This course&nbsp;is the&nbsp;foundational course that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI.</p><p>The course will begin with the discussion on the commonly used fundamentals of Python and NumPy. You will then be introduced to the building blocks of the Neural Network. Those will be applied to regression and classification problems using Logistic Regression, Shallow and Deep Neural Network.</p>

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