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Deep Learning Specialization by Andrew Ng | Coursera

If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.

You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.

AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.

There are 5 Courses in this Specialization:

COURSE 1: Neural Networks and Deep Learning

Neural Networks and Deep Learning Coursera Certificate

COURSE 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Cousera Certification

COURSE 3: Structuring Machine Learning Projects

Structuring Machine Learning Projects Cousera Certification

COURSE 4: Sequence Models

Sequence Models Cousera Certification

COURSE 5: Convolutional Neural Networks

Convolutional Neural Network Coursera Certification

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