Deep Learning 专项课程

开始日期 May 21

Deep Learning Specialization

Master Deep Learning, and Break into AI

本专项课程介绍

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.

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courses
5 courses

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项目

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证书

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项目概览

课程
Intermediate Specialization.
Some related experience required.
  1. 第 1 门课程

    Neural Networks and Deep Learning

    当前班次:May 21
    课程学习时间
    4 weeks of study, 3-6 hours a week
    字幕
    English, Chinese (Traditional), Chinese (Simplified), Portuguese (Brazilian), Japanese

    课程概述

    If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that
  2. 第 2 门课程

    Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

    当前班次:May 21
    课程学习时间
    3 weeks, 3-6 hours per week
    字幕
    English, Chinese (Traditional), Chinese (Simplified)

    课程概述

    This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results. You will also
  3. 第 3 门课程

    Structuring Machine Learning Projects

    当前班次:May 21
    课程学习时间
    2 weeks of study, 3-4 hours/week
    字幕
    English, Chinese (Traditional), Chinese (Simplified)

    课程概述

    You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is
  4. 第 4 门课程

    Convolutional Neural Networks

    计划开课班次:May 28
    课程学习时间
    4 weeks of study, 4-5 hours/week
    字幕
    English

    课程概述

    This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from
  5. 第 5 门课程

    Sequence Models

    当前班次:May 21
    字幕
    English

    课程概述

    This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in s

制作方

  • deeplearning.ai

    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.

  • Andrew Ng

    Andrew Ng

    Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain
  • Teaching Assistant - Younes Bensouda Mourri

    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai
  • Head Teaching Assistant - Kian Katanforoosh

    Head Teaching Assistant - Kian Katanforoosh

    Adjunct Lecturer at Stanford University, deeplearning.ai, Ecole Centrale Paris

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