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Biswanath Halder

This course will teach you how to build, train and evaluate neural network models for classification and regression tasks using TensorFlow 2.X.

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This course will teach you how to build, train and evaluate neural network models for classification and regression tasks using TensorFlow 2.X.

Classification and regression are the two most useful machine learning tasks with a lot of real world applications. In this course, TensorFlow Developer Certificate - Building and Training Neural Network Models using TensorFlow 2.X, you’ll learn to build neural network models for classification and regression tasks using TensorFlow 2.X.

First, you'll start with the basics of machine learning and neural networks.

After that, you'll discover the different evaluation metrics for classification and regression tasks, as well as the problems of overfitting and underfitting, and how to detect and prevent them.

Then, you'll understand a classification model to classify images of handwritten digits and a regression model to predict house prices and finally. Finally, you'll learn to build a binary classifier to classify images of dogs and cats using the concept of transfer learning.

When you’re finished with this course, you’ll have the skills and knowledge of the practical aspects of implementing the models using TensorFlow. From that perspective, this course will have three demos which will contain full implementations of three models from scratch.

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What's inside

Syllabus

Course Overview
Introduction to Neural Networks
Build a Neural Network Model for Classification Using Tensorflow 2.9
Build a Neural Network Model for Regression Using Tensorflow 2.9
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Build a Binary Classification Model Using Transfer Learning in Tensorflow 2.9

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Appropriate for both beginners and intermediate learners in machine learning
Covers fundamental and advanced concepts in neural network modeling
Provides hands-on experience through practical implementation of models from scratch
Taught by experienced instructors (Biswanath Halder) who are recognized for their work in the field
Leverages TensorFlow 2.X, a widely-used and industry-standard framework for machine learning
May require students to have some prior background in machine learning and programming

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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 Deploying Applications with AWS CDK with these activities:
Practice Python
Brush up on Python basics to improve comprehension and problem-solving skills.
Browse courses on Python
Show steps
  • Review Python syntax and data structures.
  • Solve coding challenges on platforms like HackerRank or LeetCode.
Connect with TensorFlow Experts
Seek guidance from experienced individuals to enhance your TensorFlow skills and knowledge.
Browse courses on TensorFlow
Show steps
  • Attend conferences or meetups to network with experts.
  • Reach out to professionals on LinkedIn or other platforms.
Explore TensorFlow Tutorials
Follow guided tutorials to reinforce concepts and gain hands-on experience with TensorFlow.
Browse courses on TensorFlow
Show steps
  • Go through the official TensorFlow tutorials for beginners.
  • Explore community-created tutorials on YouTube or Medium.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend TensorFlow Workshops
Gain hands-on experience and insights through structured workshops conducted by experts in TensorFlow.
Browse courses on TensorFlow
Show steps
  • Research and identify relevant workshops.
  • Register and actively participate in the workshop.
Build Mini Projects
Apply TensorFlow in practical scenarios by building small-scale projects to enhance problem-solving
Browse courses on TensorFlow
Show steps
  • Create a simple image classifier using TensorFlow.
  • Build a regression model to predict house prices.
Write a TensorFlow Blog Post
Share your understanding of TensorFlow through a blog post, which can reinforce concepts and aid retention.
Browse courses on TensorFlow
Show steps
  • Choose a specific aspect of TensorFlow to write about.
  • Research and gather information from reliable sources.
  • Write a well-structured and informative blog post.
Mentor a Junior
Share your knowledge and support others by mentoring a junior who is learning TensorFlow.
Browse courses on TensorFlow
Show steps
  • Connect with individuals who are new to TensorFlow.
  • Provide guidance, answer questions, and offer encouragement.
Contribute to TensorFlow Open Source Projects
Gain practical experience and showcase your skills by contributing to open-source TensorFlow projects.
Browse courses on TensorFlow
Show steps
  • Identify a suitable project and familiarize yourself with its codebase.
  • Propose and implement changes or fixes.

Career center

Learners who complete Deploying Applications with AWS CDK will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists collect, analyze, and interpret data to extract meaningful insights. They use statistical techniques and machine learning algorithms to build models that can predict future outcomes or identify trends. This course will provide you with the skills you need to build and train neural network models, which are a powerful tool for data analysis and prediction. By taking this course, you will be well-prepared for a career as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineers design, develop, and implement machine learning models. They work closely with Data Scientists to identify the right models for a given problem and then build and deploy those models. This course will teach you how to build and train neural network models, which are a popular choice for machine learning tasks. By taking this course, you will gain the skills you need to become a Machine Learning Engineer.
Software Engineer
Software Engineers design, develop, and test software applications. They work on a variety of projects, from small personal apps to large enterprise systems. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in software development. By taking this course, you will gain the skills you need to become a Software Engineer who can develop cutting-edge software applications.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use statistical techniques and visualization tools to communicate their findings to stakeholders. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in data analysis. By taking this course, you will gain the skills you need to become a Data Analyst who can extract meaningful insights from data.
Business Analyst
Business Analysts help businesses understand their data and make better decisions. They work with stakeholders to identify the business problem, collect and analyze data, and develop recommendations. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in business analysis. By taking this course, you will gain the skills you need to become a Business Analyst who can help businesses make better decisions.
Financial Analyst
Financial Analysts help businesses make investment decisions. They use financial data to analyze companies and make recommendations on whether to buy, sell, or hold stocks. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in financial analysis. By taking this course, you will gain the skills you need to become a Financial Analyst who can make better investment decisions.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical techniques to solve business problems. They work on a variety of projects, from logistics and supply chain management to healthcare and transportation. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in operations research. By taking this course, you will gain the skills you need to become an Operations Research Analyst who can solve complex business problems.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market that meet the needs of customers. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in product development. By taking this course, you will gain the skills you need to become a Product Manager who can develop innovative products that customers love.
Marketing Analyst
Marketing Analysts help businesses understand their customers and develop marketing campaigns that are effective. They use data analysis techniques to track customer behavior and identify trends. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in marketing analysis. By taking this course, you will gain the skills you need to become a Marketing Analyst who can help businesses make better marketing decisions.
Sales Engineer
Sales Engineers help businesses sell complex products and services. They work with customers to understand their needs and develop solutions that meet those needs. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in sales engineering. By taking this course, you will gain the skills you need to become a Sales Engineer who can help businesses close more deals.
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They work with engineers and product managers to gather information and write clear and concise documentation that helps users understand how to use products. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in technical writing. By taking this course, you will gain the skills you need to become a Technical Writer who can help users understand complex technical concepts.
User Experience Researcher
User Experience Researchers study how users interact with products and services. They conduct research to identify user needs and develop designs that improve the user experience. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in user experience research. By taking this course, you will gain the skills you need to become a User Experience Researcher who can help businesses create products and services that are easy to use and enjoyable.
Web Developer
Web Developers design and develop websites. They work with designers and content creators to create websites that are visually appealing and easy to navigate. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in web development. By taking this course, you will gain the skills you need to become a Web Developer who can create websites that are both user-friendly and efficient.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They work with developers and users to ensure that databases are running smoothly and that data is safe and secure. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in database administration. By taking this course, you will gain the skills you need to become a Database Administrator who can keep databases running smoothly and securely.
IT Support Specialist
IT Support Specialists provide technical support to users. They help users with a variety of problems, from hardware issues to software problems. This course will teach you the basics of machine learning and neural networks, which are increasingly being used in IT support. By taking this course, you will gain the skills you need to become an IT Support Specialist who can help users solve technical problems quickly and efficiently.

Reading list

We've selected five 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 Deploying Applications with AWS CDK.
Provides a comprehensive overview of deep learning, including the fundamentals of neural networks, training techniques, and applications. It valuable resource for both beginners and experienced practitioners.
This course provides a comprehensive overview of deep learning, from the basics to advanced topics. It great resource for those who want to gain a deep understanding of the field.
Provides a comprehensive overview of deep learning, from the basics to advanced topics. It great resource for those who want to gain a deep understanding of the field.
Provides a practical introduction to machine learning with Python libraries such as Scikit-Learn, Keras, and TensorFlow. It covers topics such as data preprocessing, model training, and model evaluation. It valuable resource for those who want to learn how to use these libraries effectively.
Provides a comprehensive overview of deep learning with R. It covers topics such as data preprocessing, model training, and model evaluation. It valuable resource for those who want to learn how to use R for deep learning.

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