Deep Learning 전문 분야

Aug 27에 시작

Deep Learning Specialization

Master Deep Learning, and Break into AI

전문분야 소개

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.

생성자:

산업 파트너:

courses
5 courses

제시된 순서를 따르거나 직접 선택하십시오.

projects
프로젝트

습득한 역량을 연습하고 적용해 볼 수 있도록 설계되었습니다.

certificates
수료증

이력서 또는 Linkedln에 새로운 기술을 강조하십시오.

프로젝트 개요

강좌
Intermediate Specialization.
Some related experience required.
  1. 강좌 1

    Neural Networks and Deep Learning

    시작 예정 세션:
    약정
    4 weeks of study, 3-6 hours a week
    자막
    English, Chinese (Traditional), Chinese (Simplified), Portuguese (Brazilian), Korean, Turkish, Japanese

    강좌 소개

    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" t
  2. 강좌 2

    Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

    시작 예정 세션:
    약정
    3 weeks, 3-6 hours per week
    자막
    English, Chinese (Traditional), Chinese (Simplified), Korean, Turkish

    강좌 소개

    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 al
  3. 강좌 3

    Structuring Machine Learning Projects

    시작 예정 세션:
    약정
    2 weeks of study, 3-4 hours/week
    자막
    English, Korean, Chinese (Traditional), Chinese (Simplified)

    강좌 소개

    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
  4. 강좌 4

    Convolutional Neural Networks

    현재 세션: Aug 20
    약정
    4 weeks of study, 4-5 hours/week
    자막
    English, Chinese (Traditional), Korean

    강좌 소개

    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 f
  5. 강좌 5

    Sequence Models

    시작 예정 세션:
    자막
    English

    강좌 소개

    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 i

제작자

  • 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

    Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec

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