TensorFlow for AI: Get to Know Tensorflow from Coursera

This guided project course is part of the "Tensorflow for AI" series, and this series presents material that builds on the first course of DeepLearning.AI TensorFlow Developer Professional Certificate offered at Coursera, which will help learners reinforce their skills and build more projects with Tensorflow. In this 1-hour long project-based course, you will get to know the basics and main components of Tensorflow through hands-on exercises, and you will learn how to define, compile and train a neural network with Tensorflow, and you will get a bonus practical deep learning project implemented with Tensorflow. By the end of this project, you will have developed a deeper understanding of Tensorflow, learned how to build a neural network with Tensorflow, and learned practically how to use Tensorflow to implement AI projects so that you can start building and applying scalable models to real-world problems. This class is for learners who want to use Python for building AI models with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a practical deep learning with TensorFlow project. Also, this project provides learners with deeper knowledge about the basics of Tensorflow and its main components and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for learners with a background in deep learning who seek a practical project to solidify their knowledge of Tensorflow

Provides a comprehensive study of the basics of Tensorflow and its main components

Suitable for learners who want to use Python for building AI models with TensorFlow

Builds a strong foundation for beginners in Tensorflow

Strengthens an existing foundation for intermediate learners in Tensorflow

Reviews summary

Tensorflow for ai: guided project

This project-based course provides learners with the basics of TensorFlow through hands-on exercises. Aimed at those with a basic understanding of deep learning and Python, the course offers practical experience in building neural networks with TensorFlow. With some technical difficulties noted, the majority of learners found the course helpful in enhancing their TensorFlow skills and understanding.

Introduces TensorFlow basics

"... this series presents material that builds on the first course of DeepLearning.AI TensorFlow Developer Professional Certificate offered at Coursera, ..."

"... you will get to know the basics and main components of Tensorflow through hands-on exercises, ..."

Hands-on exercises

"... you will get to know the basics and main components of Tensorflow through hands-on exercises, ..."

Outdated APIs and missing explanations

"... The code examples use a lot of deprecated APIs and other learners have flagged this problem. It was not acknowledged by the course author."

"... there isn't much explanation about the theoretical fundaments."

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 TensorFlow for AI: Get to Know Tensorflow with these activities:

Review Python Basics

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Reviewing Python basics will strengthen your foundation and ensure you have the necessary programming skills to succeed in this course.

Browse courses on Python

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Review online tutorials or documentation on Python basics
Complete practice problems to reinforce your understanding

TensorFlow Tutorial for Beginners

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This tutorial provides a hands-on introduction to TensorFlow and reinforces the concepts covered in the DeepLearning.AI TensorFlow Developer Professional Certificate.

Browse courses on TensorFlow

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Follow the TensorFlow Tutorial for Beginners
Complete the exercises in the tutorial

TensorFlow for Deep Learning

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This book provides a comprehensive overview of TensorFlow and its applications in deep learning.

View Fundamentals of Deep Learning on Amazon

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Read the book and take notes
Complete the exercises in the book

Five other activities

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TensorFlow Study Group

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Engage in discussions and knowledge sharing with other learners to reinforce your understanding of TensorFlow and address any challenges.

Browse courses on TensorFlow

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Join a TensorFlow study group
Attend study sessions regularly
Participate in discussions and ask questions

TensorFlow Project: Build a Neural Network

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By building a neural network with TensorFlow, you will solidify your understanding of neural network architectures and TensorFlow's capabilities.

Browse courses on TensorFlow

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Design the architecture of your neural network
Implement the neural network in TensorFlow
Train the neural network on a dataset
Evaluate the performance of the neural network

TensorFlow Coding Challenges

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Solve coding challenges specific to TensorFlow to enhance your problem-solving and coding skills in TensorFlow.

Browse courses on TensorFlow

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Find TensorFlow coding challenges online
Attempt to solve the challenges
Review your solutions and identify areas for improvement

TensorFlow Community Contributions

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Contribute to the TensorFlow community by reporting bugs, answering questions, or participating in discussions, which can enhance your understanding of TensorFlow and connect you with other practitioners.

Browse courses on TensorFlow

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Join the TensorFlow community
Identify ways to contribute
Make contributions and interact with other community members

TensorFlow Project: Implement a Machine Learning Model

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Applying TensorFlow to implement a machine learning model will strengthen your practical skills and provide valuable experience in real-world applications.

Browse courses on TensorFlow

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Identify a machine learning problem to solve
Collect and prepare a dataset
Design and implement a machine learning model in TensorFlow
Train and evaluate the model
Deploy the model for use

Career center

Learners who complete TensorFlow for AI: Get to Know Tensorflow will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course will help build a foundation in TensorFlow, one of the industry-leading frameworks for data science. Mastering TensorFlow will help you as a Data Scientist in your ability to build and train machine learning models on large datasets.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models and applications. This course covers key concepts in TensorFlow, giving you the foundational understanding needed to be an effective Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Deep Learning Engineer

A Deep Learning Engineer specializes in developing and deploying deep learning models. This course would provide a solid foundation in TensorFlow, which is one of the widely used frameworks for building deep learning models. By completing this course, you'll gain the skills necessary to succeed in this role.

See salaries and explore the career path for Deep Learning Engineer

AI Engineer

An AI Engineer designs, develops, and deploys artificial intelligence systems. This course will provide you with an understanding of TensorFlow, a key framework for AI development. You'll learn how to build, train, and deploy TensorFlow models, gaining valuable skills for a career as an AI Engineer.

See salaries and explore the career path for AI Engineer

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course can be helpful for Software Engineers interested in working on AI projects. By mastering TensorFlow, you'll gain expertise in a key technology for building and deploying AI-powered software solutions.

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Data Analyst

A Data Analyst collects, analyzes, and interprets data to extract meaningful insights. This course can be helpful for Data Analysts interested in using TensorFlow for data analysis. TensorFlow is a powerful framework for working with large datasets, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Data Analyst

Research Scientist

A Research Scientist conducts research in a specialized field. This course may be helpful for Research Scientists working on AI projects. TensorFlow is a widely used framework for AI research, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Research Scientist

Business Analyst

A Business Analyst analyzes business processes and recommends solutions to improve efficiency. This course may be helpful for Business Analysts interested in using AI to improve business outcomes. TensorFlow is a powerful framework for building AI models, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager manages the development and launch of new products. This course may be helpful for Product Managers working on AI-powered products. TensorFlow is a key framework for building and deploying AI models, and this course will provide you with the skills to evaluate and manage AI projects.

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Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical methods to analyze financial data. This course provides hands-on experience with TensorFlow, giving you the practical skills needed to apply machine learning to financial data analysis. By mastering TensorFlow, you'll be well-equipped for a career as a Quantitative Analyst in the financial industry.

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Statistician

A Statistician collects, analyzes, and interprets data. This course may be helpful for Statisticians interested in using AI to improve statistical methods. TensorFlow is a powerful framework for building AI models, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Statistician

Operations Research Analyst

An Operations Research Analyst uses mathematical and analytical methods to solve business problems. This course may be helpful for Operations Research Analysts interested in using AI to improve decision-making. TensorFlow is a powerful framework for building AI models, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Operations Research Analyst

Actuary

An Actuary analyzes financial risks and develops strategies to mitigate them. This course may be helpful for Actuaries interested in using AI to improve risk assessment. TensorFlow is a powerful framework for building AI models, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Actuary

Financial Analyst

A Financial Analyst analyzes financial data and makes recommendations for investment decisions. This course may be helpful for Financial Analysts interested in using AI to improve investment strategies. TensorFlow is a powerful framework for building AI models, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Financial Analyst

Economist

An Economist analyzes economic data and makes recommendations for economic policy. This course may be helpful for Economists interested in using AI to improve economic forecasting. TensorFlow is a powerful framework for building AI models, and this course will provide you with the skills to use it effectively.

See salaries and explore the career path for Economist