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Deep Learning Specialization

Master Deep Learning, and Break into AI

About This Specialization

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.

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

Created by: deeplearning.ai

Industry Partners: Deep Learning Institute NVIDIA

Projects Overview

You will see and work on case studies in healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will also build near state-of-the-art deep learning models for several of these applications. In a "Machine Learning flight simulator", you will work through case studies and gain "industry-like experience" setting direction for an ML team.

deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) to provide labs in advanced, application-specific topics and to give learners access to GPUs for programming assignments. This will give you an opportunity to build deep learning projects in a cutting-edge, industry-like environment.

Courses

COURSE 1: Neural Networks and Deep Learning

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

COURSE 3: Structuring Machine Learning Projects

COURSE 4: Convolutional Neural Networks

COURSE 5: Sequence Models

Creators

deeplearning.ai is dedicated to advancing AI by sharing knowledge about the field. We hope to welcome more individuals into deep learning and AI.

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders.