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Amit Yadav
In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/mrf87e/basic
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What's inside
Syllabus
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Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Provides a solid foundation for those new to deep learning and neural networks
Utilizes a hands-on approach through a project-based format
Taught by Amit Yadav, who is recognized for his expertise in this field
Suitable for beginners looking to gain an understanding of the fundamentals of neural networks and deep learning
Course availability is currently limited to learners in the North America region
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Reviews summary
Hands-on basic image classification
According to learners, this course provides an excellent introduction to Basic Image Classification with TensorFlow and Keras. Students particularly praised the hands-on project approach, finding it an effective way to learn how to build, train, and evaluate a Neural Network model. The explanations of core concepts like Dense layers, training, and evaluation were frequently highlighted as clear and concise, making it good for beginners with limited prior experience. Many found the 2-hour duration to be time-efficient, offering significant practical learning in a short period. While overwhelmingly positive, a few reviewers mentioned potential setup challenges with the coding environment, though this did not seem to hinder the majority. Overall, it is seen as a solid first step for those looking to apply TensorFlow and Keras.
Focuses only on introductory concepts.
"It covers the fundamentals as advertised, don't expect deep theory."
"Good for a quick overview but not in-depth."
"Strictly a basic introduction to the topic."
Delivers learning effectively in 2 hours.
"It's impressive how much you learn in just 2 hours."
"Great course, quick and to the point. Well done."
"Perfect length for a quick introduction to image classification with TensorFlow."
"A wonderful quick project on TensorFlow and Keras."
Concepts are explained clearly.
"The explanation of Dense layers, training, and evaluation was precise."
"Instructor is very clear and concise."
"Easy to follow and understand the steps."
"The concepts were explained clearly and precisely."
Accessible for newcomers to ML concepts.
"Perfect for a beginner like me who is just starting out with Neural Networks."
"Great course for beginners. Very well explained."
"I have almost no experience in machine learning and I was able to follow through and learn a lot."
"This course is perfectly designed for someone with basic Python experience."
Provides great practical experience.
"The hands-on experience was the best part, learning by doing is very effective."
"This is a great hands-on project. I have never used TensorFlow before."
"I really loved the hands-on project. It made learning so much easier."
"Building the model step-by-step really helped solidify the concepts."
Some users encountered lab problems.
"I had a bit of trouble with the lab environment setup."
"The coding environment seemed a bit slow/buggy at times."
"The setup took me longer than I expected, causing some frustration."
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 Basic Image Classification with TensorFlow with these
activities:
Identify and Connect with Mentors in the Field
Show steps
Accelerate your learning by seeking guidance from experienced professionals in the field.
Browse courses on
Neural Networks
Show steps
-
Identify potential mentors
-
Reach out and introduce yourself
-
Set up regular meetings
TensorFlow Tutorial - MNIST Handwritten Digit Classification
Show steps
Gain practical experience working with TensorFlow on a simple image classification task, providing a foundation for the course material.
Browse courses on
TensorFlow
Show steps
-
Follow the steps in the tutorial
-
Run the code in your own environment
-
Try modifying the code to improve the accuracy
Practice Image Classification with Keras and TensorFlow
Show steps
Solidify your understanding of image classification by practicing with Keras and TensorFlow, ensuring you're prepared for the course projects.
Browse courses on
Image Classification
Show steps
-
Find a dataset of handwritten digits
-
Create a model using Keras and TensorFlow
-
Train the model on the dataset
-
Evaluate the model's performance
Three other activities
Expand to see all activities and additional details
Show all six activities
Develop a Presentation on Neural Network Fundamentals
Show steps
Deepen your understanding by explaining key concepts in Neural Networks to others, reinforcing your knowledge and improving your communication skills.
Browse courses on
Neural Networks
Show steps
-
Research and gather information on Neural Network fundamentals
-
Create a presentation outline
-
Develop slides and visual aids
-
Practice presenting your material
Mentor a Beginner in Neural Networks and Deep Learning
Show steps
Solidify your understanding by teaching others, and gain experience in effectively communicating complex concepts.
Browse courses on
Neural Networks
Show steps
-
Identify a beginner who is interested in learning about Neural Networks
-
Set up regular meetings to discuss concepts
-
Provide guidance and support
Develop a Neural Network Model for a Specific Image Classification Task
Show steps
Challenge yourself by applying your knowledge to a real-world problem, testing your skills and deepening your understanding.
Browse courses on
Neural Networks
Show steps
-
Define the problem
-
Collect and prepare data
-
Design and implement a Neural Network model
-
Train and evaluate the model
-
Deploy the model
Identify and Connect with Mentors in the Field
Show steps
Accelerate your learning by seeking guidance from experienced professionals in the field.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out and introduce yourself
- Set up regular meetings
TensorFlow Tutorial - MNIST Handwritten Digit Classification
Show steps
Gain practical experience working with TensorFlow on a simple image classification task, providing a foundation for the course material.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Follow the steps in the tutorial
- Run the code in your own environment
- Try modifying the code to improve the accuracy
Practice Image Classification with Keras and TensorFlow
Show steps
Solidify your understanding of image classification by practicing with Keras and TensorFlow, ensuring you're prepared for the course projects.
Browse courses on
Image Classification
Show steps
Show steps
Show steps
- Find a dataset of handwritten digits
- Create a model using Keras and TensorFlow
- Train the model on the dataset
- Evaluate the model's performance
Three other activities
Expand to see all activities and additional details
Show all six activities
Develop a Presentation on Neural Network Fundamentals
Show steps
Deepen your understanding by explaining key concepts in Neural Networks to others, reinforcing your knowledge and improving your communication skills.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Research and gather information on Neural Network fundamentals
- Create a presentation outline
- Develop slides and visual aids
- Practice presenting your material
Mentor a Beginner in Neural Networks and Deep Learning
Show steps
Solidify your understanding by teaching others, and gain experience in effectively communicating complex concepts.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Identify a beginner who is interested in learning about Neural Networks
- Set up regular meetings to discuss concepts
- Provide guidance and support
Develop a Neural Network Model for a Specific Image Classification Task
Show steps
Challenge yourself by applying your knowledge to a real-world problem, testing your skills and deepening your understanding.
Browse courses on
Neural Networks
Show steps
Show steps
Show steps
- Define the problem
- Collect and prepare data
- Design and implement a Neural Network model
- Train and evaluate the model
- Deploy the model
Career center
Learners who complete Basic Image Classification with TensorFlow will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their knowledge of machine learning and artificial intelligence to design, create, and implement machine learning models that can be used to solve real-world problems. This course will help you build a strong foundation in the fundamentals of machine learning, including data preprocessing, feature engineering, and model evaluation. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Data Scientist
Data Scientist
Data Scientists use their knowledge of data analysis and machine learning to extract insights from data. This course will help you build a strong foundation in the fundamentals of data analysis and machine learning, including data preprocessing, feature engineering, and model evaluation. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you build a strong foundation in the fundamentals of software engineering, including software design, software development, and software testing. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business processes and data analysis to identify and solve business problems. This course will help you build a strong foundation in the fundamentals of business analysis, including business process modeling, data analysis, and problem solving. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course will help you build a strong foundation in the fundamentals of product management, including product planning, product development, and product marketing. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for the development and implementation of marketing campaigns. This course will help you build a strong foundation in the fundamentals of marketing, including marketing strategy, marketing research, and marketing communications. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Sales Manager
Sales Manager
Sales Managers are responsible for the development and implementation of sales strategies. This course will help you build a strong foundation in the fundamentals of sales, including sales strategy, sales management, and customer relationship management. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for the development and implementation of customer success strategies. This course will help you build a strong foundation in the fundamentals of customer success, including customer relationship management, customer support, and customer onboarding. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Account Manager
Account Manager
Account Managers are responsible for the development and implementation of account management strategies. This course will help you build a strong foundation in the fundamentals of account management, including account planning, account development, and account maintenance. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Project Manager
Project Manager
Project Managers are responsible for the development and implementation of project management plans. This course will help you build a strong foundation in the fundamentals of project management, including project planning, project execution, and project control. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Operations Manager
Operations Manager
Operations Managers are responsible for the development and implementation of operational plans. This course will help you build a strong foundation in the fundamentals of operations management, including operations planning, operations execution, and operations control. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for the development and implementation of financial plans. This course will help you build a strong foundation in the fundamentals of financial analysis, including financial planning, financial modeling, and financial reporting. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Investment Banker
Investment Banker
Investment Bankers are responsible for the development and implementation of investment banking plans. This course will help you build a strong foundation in the fundamentals of investment banking, including investment banking analysis, investment banking modeling, and investment banking pitching. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Management Consultant
Management Consultant
Management Consultants are responsible for the development and implementation of management consulting plans. This course will help you build a strong foundation in the fundamentals of management consulting, including management consulting analysis, management consulting modeling, and management consulting pitching. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
Lawyer
Lawyer
Lawyers are responsible for the development and implementation of legal plans. This course will help you build a strong foundation in the fundamentals of law, including legal analysis, legal modeling, and legal pitching. You will also learn how to use Keras and TensorFlow to build and train neural networks, which are a type of machine learning model that is particularly well-suited for image classification tasks.
For more career information including salaries, visit:
OpenCourser.com/course/mrf87e/basic
Reading list
We've selected 12 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
Basic Image Classification with TensorFlow.
Save
Comprehensive reference on deep learning, covering the fundamental concepts, architectures, and applications. It valuable resource for researchers and practitioners alike.
Provides a comprehensive overview of pattern recognition and machine learning, covering the fundamental concepts and applications. It valuable resource for beginners and experienced practitioners alike.
Provides a comprehensive overview of deep learning, covering the fundamental concepts, architectures, and applications. It valuable resource for beginners and experienced practitioners alike.
Provides a comprehensive overview of statistical learning, covering the fundamental concepts and applications. It valuable resource for beginners and experienced practitioners alike. While the book is primarily focused on statistical learning, it also provides a good foundation for deep learning.
Provides a comprehensive overview of machine learning, covering the fundamental concepts and applications. It valuable resource for beginners and experienced practitioners alike, especially for those who are interested in using R for machine learning.
Provides a practical introduction to machine learning using popular Python libraries such as Scikit-Learn, Keras, and TensorFlow. It great choice for those who want to gain hands-on experience with building and deploying machine learning models.
Save
Provides a comprehensive overview of machine learning, covering the fundamental concepts and applications. It valuable resource for beginners and experienced practitioners alike.
Save
Provides a comprehensive overview of deep learning, covering the fundamental concepts, architectures, and applications. It valuable resource for beginners and experienced practitioners alike, especially for those who are interested in using R for deep learning.
Provides a comprehensive overview of machine learning, covering the fundamental concepts and applications. It valuable resource for beginners and experienced practitioners alike. The book is also commonly used as a textbook in academic institutions.
Provides a comprehensive guide to TensorFlow, a popular open-source machine learning library. It covers the basics of TensorFlow, as well as advanced topics such as deep learning and natural language processing.
Provides a comprehensive guide to Keras, a popular high-level neural networks API for Python. It covers the basics of Keras, as well as advanced topics such as deep learning and natural language processing.
Provides a practical guide to using machine learning for business applications. It covers the fundamental concepts of machine learning, as well as how to apply machine learning to real-world business problems. This book is written in a non-technical style, making it a good choice for beginners.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mrf87e/basic
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