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Udacity
Udacity
Free Course

Intro to TensorFlow for Deep Learning

by
TensorFlow

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

About this Course

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 Cost
Free
Timeline
Approx. 2 months
Skill Level
intermediate
Included in Product

Rich Learning ContentRich Learning Content

Interactive QuizzesInteractive Quizzes

Taught by Industry ProsTaught by Industry Pros

Self-Paced LearningSelf-Paced Learning

Join the Path to Greatness

In this program you will master Supervised, Unsupervised, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.

Free Course

Intro to TensorFlow for Deep Learning

byTensorFlow

Enhance your skill set and boost your hirability through innovative, independent learning.

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Nanodegree Program

Machine Learning Engineer

byAWS

In this program you will master Supervised, Unsupervised, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.

 
 

Course Leads

Magnus Hyttsten

Magnus Hyttsten

Developer Advocate, Google

Juan Delgado

Juan Delgado

Content Developer, Udacity

Paige Bailey

Paige Bailey

Developer Advocate, Google

What You Will Learn

lesson 1

Introduction to Machine Learning

  • Get a high-level overview of artificial intelligence and machine learning
  • Learn how machine learning and deep learning have revolutionized software
lesson 2

Your First Model: Fashion MNIST

  • Build a neural network that can recognize images of articles of clothing
lesson 3

Introduction to Convolutional Neural Networks ("CNNs")

  • Use a convolutional network to build more efficient models for Fashion MNIST
lesson 4

Going Further with CNNs

  • 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
lesson 5

Transfer Learning

  • Use a pre-trained network to build powerful state-of-the-art classifiers
lesson 6

Saving and Loading Models

  • Look at the new SAVEDMODEL format in TensorFlow 2.0 and take advantage of it for TensorFlow-Lite and TensorFlow-Serving
lesson 7

Time Series Forecasting

  • Learning from sequential data with recurrent neural networks
lesson 8

Natural Language Processing

  • Tokenize words and create embeddings for using text data with neural networks
  • Build recurrent neural networks, such as LSTMs, for improved NLP models
  • Generate new text for tasks like novel song lyrics
lesson 9

Introduction to TensorFlow Lite

  • Learn how you can use TensorFlow lite to build machine learning apps on Android, iOS and iOT devices

Prerequisites and Requirements

To get the most out of your experience, we recommend the following:

  • Beginning Python syntax, including: variables, functions, classes, and object-oriented programming
  • Basic algebra

See the Technology Requirements for using Udacity.

Why Take This Course

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.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
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