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[su_tab title=”Description”]

In this course you will learn about deep learning. Designing systems that learn from complex or large scale datasets. How to build and optimize basic neural networks, convolutional neural networks, and long short term memory networks. You will also learn TensorFlow via projects and assignments.

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[su_tab title=”Program Structure”]

• From Machine Learning to Deep Learning
• Deep Neural Networks
• Convolutional Neural Networks
• Deep Models for Text and Sequences

Duration: 3 months

Skill Level: Advanced

Mode: Online Self- Paced

Fees: FREE

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[su_tab title=”Eligibility”]

• Minimum 2 years of programming experience (preferably in Python)
• Git and GitHub experience (assignment code is in a GitHub repo)
• Basic machine learning knowledge (especially supervised learning)
• Basic statistics knowledge (mean, variance, standard deviation, etc.)
• Linear algebra (vectors, matrices, etc.)
• Calculus (differentiation, integration, partial derivatives, etc.)

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[su_tab title=”Contact”]

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