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Keras
Jay Alammar,
Arpan Chakraborty,
Luis Serrano,
and
Dana Sheahen
Jay Alammar,
Arpan Chakraborty,
Luis Serrano,
and
Dana Sheahen
Register for this course and see more details by visiting:
OpenCourser.com/course/48qlsv/kera
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.
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Know what's good ,
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possible dealbreakers
Introduces critical concepts and foundational skills for applying Keras to analyze movie reviews
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Activities
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Keras.
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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.
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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
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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
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