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Jay Alammar, Arpan Chakraborty, Luis Serrano, and Dana Sheahen

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

Know what's good
, what to watch for
, and possible dealbreakers
Introduces critical concepts and foundational skills for applying Keras to analyze movie reviews

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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
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
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  • Read a Python tutorial online or in a book.
  • Complete some Python programming exercises.
Review linear algebra and calculus
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
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
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  • 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
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Follow a Keras tutorial
Following a Keras tutorial will help you to learn how to use Keras to build and train deep learning models.
Browse courses on Keras
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  • 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
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
Attending a study group will allow you to discuss the concepts covered in this course with other students.
Browse courses on Keras
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  • Find a study group to join.
  • Attend the study group meetings.
  • Participate in the discussion.
Create a blog post or video about Keras
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
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.

Career center

Learners who complete Keras will develop knowledge and skills that may be useful to these careers:
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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.
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.
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.

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