Deep Learning Specialization

What you will learn in this course

Learn the foundations of Deep Learning
How to build neural networks
Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more
Understand the major technology trends driving Deep Learning
How to implement efficient (vectorized) neural networks
Understand the key parameters in a neural network’s architecture
How Deep Learning actually works
Learn TensorFlow
Implement and apply a variety of optimization algorithms
Learn how to build a successful machine learning project
Understand how to diagnose errors in a machine learning system
Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance
Understand how to build a convolutional neural network
How to apply convolutional networks to visual detection and recognition tasks
How to build models for natural language, audio, and other sequence data
How to build and train Recurrent Neural Networks (RNNs)

Course will help you master Deep Learning, understand how to apply it, and build a career in AI.

How to Enroll Deep Learning Specialization course?

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How many members can access this course with a coupon?

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