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TensorFlow for AI: Neural Network Representation
  • Level Intermediate
  • Duration 3 hours
  • Offered by

About

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, which will help learners reinforce their skills and build more projects with Tensorflow. In this 1.5-hour long project-based course, you will learn practically how to work on a deep learning task in the real world and create, train, and test a neural network with Tensorflow using real-world images, and you will get a bonus deep learning exercise implemented with Tensorflow. By the end of this project, you will have created a deep neural network with TensorFlow on a real-world dataset. This class is for learners who want to use Python for building neural networks 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 project with TensorFlow project. Also, this project provides learners with further knowledge about creating and training convolutional neural networks and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios.

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Join the "TensorFlow for AI: Neural Network Representation" course on Coursera, designed for those with intermediate skills in personal development. This 180-minute guided project, part of the "Tensorflow for AI" series, builds on foundational DeepLearning concepts. Enhance your AI expertise for free under expert instruction. Ideal for learners aiming to deepen their understanding of neural network representation.