TensorFlow for AI: Neural Network Representation

This guided project is part of the "Tensorflow for AI" series, designed to reinforce skills and build projects with TensorFlow. In this 1.5-hour course, learners will practically work on a deep learning task using real-world images. They will learn to create, train, and test a neural network with TensorFlow, along with bonus exercises implemented with TensorFlow.

• Build a real-world deep learning model
• Create a convolutional neural network from scratch with TensorFlow
• Train and test a convolutional neural network with TensorFlow

This course is suitable for learners who want to use Python for building neural networks with TensorFlow. It is ideal for those currently taking a basic deep learning course or seeking a practical deep learning project with TensorFlow. By completing this project, learners will gain further knowledge about creating and training convolutional neural networks, enhancing their skills in TensorFlow and adding a valuable project to their portfolios to achieve their career goals.