We may earn an affiliate commission when you visit our partners.
Jay Alammar,
Arpan Chakraborty,
Luis Serrano,
and
Dana Sheahen
Register for this course and see more details by visiting:
OpenCourser.com/course/48qlsv/kera
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
UDACITY40
What's inside
Syllabus
In this section you'll get a hands-on introduction to Keras. You'll learn to apply it to analyze movie reviews.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces critical concepts and foundational skills for applying Keras to analyze movie reviews
Save this course
Save Keras to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Keras with these
activities:
Review Python programming basics
Show steps
Reviewing Python programming basics will help you to refresh your knowledge of the Python programming language, which is essential for using Keras.
Browse courses on
Python
Show steps
-
Read a Python tutorial online or in a book.
-
Complete some Python programming exercises.
Review linear algebra and calculus
Show steps
Reviewing linear algebra and calculus will help you to refresh your knowledge of the mathematical concepts that are essential for understanding deep learning.
Browse courses on
Linear Algebra
Show steps
-
Read a linear algebra and calculus textbook.
-
Complete some linear algebra and calculus exercises.
Review the book: Deep Learning
Show steps
Reading this book will provide you with a solid foundation of the fundamentals of deep learning, which will be essential for understanding the concepts covered in this course.
View
Deep Learning
on Amazon
Show steps
-
Read the first five chapters of the book.
-
Complete the exercises at the end of each chapter.
-
Discuss the concepts you are learning with other students in the course.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a Keras tutorial
Show steps
Following a Keras tutorial will help you to learn how to use Keras to build and train deep learning models.
Browse courses on
Keras
Show steps
-
Find a Keras tutorial online or in a book.
-
Follow the steps in the tutorial.
-
Build and train a deep learning model using Keras.
Practice solving Keras exercises
Show steps
Practicing solving Keras exercises will help you to develop your skills in using Keras and to better understand the concepts covered in this course.
Browse courses on
Keras
Show steps
-
Find a set of Keras exercises online or in a book.
-
Solve the exercises.
-
Check your solutions against the provided answer key.
Attend a study group
Show steps
Attending a study group will allow you to discuss the concepts covered in this course with other students.
Browse courses on
Keras
Show steps
-
Find a study group to join.
-
Attend the study group meetings.
-
Participate in the discussion.
Create a blog post or video about Keras
Show steps
Creating a blog post or video about Keras will help you to solidify your understanding of Keras and to share your knowledge with others.
Browse courses on
Keras
Show steps
-
Choose a topic for your blog post or video.
-
Write or record your blog post or video.
-
Publish your blog post or video.
Participate in a Kaggle competition
Show steps
Participating in a Kaggle competition will challenge you to apply your skills in Keras to solve real-world problems.
Browse courses on
Keras
Show steps
-
Find a Kaggle competition that is relevant to your interests.
-
Build a deep learning model using Keras to solve the competition.
-
Submit your model to the competition.
Review Python programming basics
Show steps
Reviewing Python programming basics will help you to refresh your knowledge of the Python programming language, which is essential for using Keras.
Browse courses on
Python
Show steps
Show steps
Show steps
- Read a Python tutorial online or in a book.
- Complete some Python programming exercises.
Review linear algebra and calculus
Show steps
Reviewing linear algebra and calculus will help you to refresh your knowledge of the mathematical concepts that are essential for understanding deep learning.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Read a linear algebra and calculus textbook.
- Complete some linear algebra and calculus exercises.
Review the book: Deep Learning
Show steps
Reading this book will provide you with a solid foundation of the fundamentals of deep learning, which will be essential for understanding the concepts covered in this course.
View
Deep Learning
on Amazon
Show steps
Show steps
Show steps
- Read the first five chapters of the book.
- Complete the exercises at the end of each chapter.
- Discuss the concepts you are learning with other students in the course.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a Keras tutorial
Show steps
Following a Keras tutorial will help you to learn how to use Keras to build and train deep learning models.
Browse courses on
Keras
Show steps
Show steps
Show steps
- Find a Keras tutorial online or in a book.
- Follow the steps in the tutorial.
- Build and train a deep learning model using Keras.
Practice solving Keras exercises
Show steps
Practicing solving Keras exercises will help you to develop your skills in using Keras and to better understand the concepts covered in this course.
Browse courses on
Keras
Show steps
Show steps
Show steps
- Find a set of Keras exercises online or in a book.
- Solve the exercises.
- Check your solutions against the provided answer key.
Attend a study group
Show steps
Attending a study group will allow you to discuss the concepts covered in this course with other students.
Browse courses on
Keras
Show steps
Show steps
Show steps
- Find a study group to join.
- Attend the study group meetings.
- Participate in the discussion.
Create a blog post or video about Keras
Show steps
Creating a blog post or video about Keras will help you to solidify your understanding of Keras and to share your knowledge with others.
Browse courses on
Keras
Show steps
Show steps
Show steps
- Choose a topic for your blog post or video.
- Write or record your blog post or video.
- Publish your blog post or video.
Participate in a Kaggle competition
Show steps
Participating in a Kaggle competition will challenge you to apply your skills in Keras to solve real-world problems.
Browse courses on
Keras
Show steps
Show steps
Show steps
- Find a Kaggle competition that is relevant to your interests.
- Build a deep learning model using Keras to solve the competition.
- Submit your model to the competition.
Career center
Learners who complete Keras will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds, deploys, and maintains machine learning models for use in software systems. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library is essential for building and deploying machine learning models.
Data Engineer
Data Engineer
A Data Engineer uses software to build and maintain software pipelines that transform raw data into usable data for Data Analysts and Data Scientists. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library is important for working with large datasets, which is a common responsibility for Data Engineers.
Data Scientist
Data Scientist
A Data Scientist uses programming, mathematics, and statistics to understand data, make predictions, and help businesses operate more efficiently. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library is important for working with large datasets, which is a common responsibility for Data Scientists.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematics, statistics, and programming to analyze financial data and make investment recommendations. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for building and deploying machine learning models for financial analysis.
Software Architect
Software Architect
A Software Architect designs, plans, and implements the overall architecture and infrastructure of software systems. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for designing and implementing data-driven software systems.
Data Visualization Engineer
Data Visualization Engineer
A Data Visualization Engineer designs and develops data visualizations that communicate insights from data. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for creating interactive and engaging data visualizations.
Data Management Specialist
Data Management Specialist
A Data Management Specialist plans, implements, and manages data management systems. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of data management and for developing systems that help organizations manage their data effectively.
Data Privacy Specialist
Data Privacy Specialist
A Data Privacy Specialist develops and implements policies and procedures for protecting the privacy of data. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of data privacy and for developing policies that protect the privacy of data.
Data Quality Specialist
Data Quality Specialist
A Data Quality Specialist develops and implements policies and procedures for ensuring the quality of data. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of data quality and for developing policies that ensure the quality of data.
Data Security Specialist
Data Security Specialist
A Data Security Specialist develops and implements policies and procedures for protecting the security of data. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of data security and for developing policies that protect the security of data.
Data Catalog Specialist
Data Catalog Specialist
A Data Catalog Specialist creates and manages data catalogs that help organizations discover and use their data assets. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of data cataloging and for developing tools that help users find and use data.
Data Integrity Specialist
Data Integrity Specialist
A Data Integrity Specialist develops and implements policies and procedures for ensuring the integrity of data. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of data integrity and for developing policies that ensure the integrity of data.
Business Analyst
Business Analyst
A Business Analyst uses data to understand business needs and help organizations improve their performance. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for analyzing data and making recommendations to improve business processes.
Product Manager
Product Manager
A Product Manager is responsible for planning, developing, and launching new products. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of product development and for making data-driven decisions.
Data Governance Specialist
Data Governance Specialist
A Data Governance Specialist develops and implements policies and procedures for managing data assets. This course may be helpful for someone interested in this career because it provides a hands-on introduction to Keras, a popular deep learning library in Python. Familiarity with this library can be useful for understanding the technical aspects of data governance and for developing policies that ensure the integrity and security of data.
For more career information including salaries, visit:
OpenCourser.com/course/48qlsv/kera
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Keras.
Is the definitive guide to Keras, written by its creator. It covers everything you need to know to use Keras effectively, from basic concepts to advanced techniques.
Helps you dive deep into Keras and build more efficient and robust deep learning models. It good source of supplemental reading for this course, and a valuable reference tool for deep learning in general.
Provides a comprehensive overview of deep learning using Python and Keras. It great resource for those who want to learn the fundamentals of deep learning and how to apply it to real-world problems.
Provides a comprehensive overview of deep learning using Python. It great resource for those who want to learn the fundamentals of deep learning and how to apply it to real-world problems.
Save
Provides a gentle introduction to machine learning. It great resource for those who want to learn the basics of machine learning and how to apply it to real-world problems.
Provides an illustrated introduction to deep learning. It great resource for those who want to learn the basics of deep learning and how it works.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/48qlsv/kera
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Time
120 hours
Level
Advanced
Via
Udacity
Instructors
Jay Alammar
Arpan Chakraborty
Luis Serrano
Dana Sheahen
Language
English
Good to know
Introduces critical concepts and foundational skills for applying Keras to analyze movie reviews
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser