Overview
This guided project course is part of the "TensorFlow for AI" series, and it builds on the foundational DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera. This series helps learners reinforce their skills and develop more TensorFlow-based projects.
In this 1-hour project-based course, you will dive into the basics and key components of TensorFlow through hands-on exercises. You'll learn how to define, compile, and train a neural network using TensorFlow. Additionally, this course includes a bonus deep learning project implemented with TensorFlow.
By the end of this project, you will have a deeper understanding of TensorFlow, learn how to build neural networks, and gain practical experience with TensorFlow to implement AI projects. You'll be equipped to create and apply scalable models to solve real-world problems.
This class is perfect for learners who want to use Python to build AI models with TensorFlow. It's also ideal for those currently taking a basic deep learning course or who have completed one and are looking for practical TensorFlow projects. This project provides deeper knowledge about TensorFlow's basics and components, enhancing your skills and helping you achieve your career goals by adding it to your portfolio.
University: Coursera
Categories: Artificial Intelligence Courses, Python Courses, Deep Learning Courses, Neural Networks Courses, TensorFlow Courses
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