Intro to TensorFlow for Deep Learning

Online Course

Udacity

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What is the course about?

Intro to TensorFlow for Deep Learning

The course Intro to TensorFlow for Deep Learning is an online class provided by Udacity. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to build deep learning applications with TensorFlow. This course was developed by the TensorFlow team and Udacity as a practical approach to deep learning for software developers. You’ll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You’ll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. Finally, you’ll use advanced techniques and algorithms to work with large datasets. By the end of this course, you’ll have all the skills necessary to start creating your own AI applications.

Course description

Intro to TensorFlow for Deep Learning
2 months

This course is a practical approach to deep learning for software developers

Introduction to Machine Learning
Your First Model: Fashion MNIST
Introduction to Convolutional Neural Networks (“CNNs”)
Going Further with CNNs
Transfer Learning
Saving and Loading Models
Time Series Forecasting
Introduction to TensorFlow Lite

Get a high-level overview of artificial intelligence and machine learning
Learn how machine learning and deep learning have revolutionized software
Build a neural network that can recognize images of articles of clothing
Use a convolutional network to build more efficient models for Fashion MNIST
Expand your image classifiers into models that can predict from multiple classes
Use a convolutional network to build a classifier for more detailed color images
Use a pre-trained network to build powerful state-of-the-art classifiers
Look at the new SAVEDMODEL format in TensorFlow 2.0 and take advantage of it for TensorFlow-Lite and TensorFlow-Serving
Learning from sequential data with recurrent neural networks
Learn how you can use TensorFlow lite to build machine learning apps on Android, iOS and iOT devices

To get the most out of your experience, we recommend the following:
See the Technology Requirements for using Udacity.

Learn how to build deep learning applications with TensorFlow. You’ll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You’ll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. By the end of this course, you’ll have all the skills necessary to start creating your own AI applications.

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Prerequisites & Facts

Intro to TensorFlow for Deep Learning

Course Topic

Machine Learning

University, College, Institution

Udacity

Course Skill Level

Intermediate

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Intro to TensorFlow for Deep Learning

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udacity

Intro to TensorFlow for Deep Learning

provided by Udacity

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