Lesson 1
Course Introduction
Meet your instructors, get a short overview of what you'll be learning, check your prerequisites, and learn how to use the workspaces and notebooks found throughout the lessons.
Course
Learn the fundamentals of neural networks with Python and TensorFlow, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
Learn the fundamentals of neural networks with Python and TensorFlow, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
Intermediate
3 weeks
Real-world Projects
Completion Certificate
Last Updated May 21, 2024
Lesson 1
Meet your instructors, get a short overview of what you'll be learning, check your prerequisites, and learn how to use the workspaces and notebooks found throughout the lessons.
Lesson 2
In this lesson, Luis will give you solid foundations on deep learning and neural networks. You'll also implement gradient descent and backpropagation in Python right here in the classroom.
Lesson 3
Mat will introduce you to a different error function and guide you through implementing gradient descent using numpy matrix multiplication.
Lesson 4
Now that you know what neural networks are, in this lesson you will learn several techniques to improve their training.
Lesson 5
Learn how to use TensorFlow for building deep learning models.
Lesson 6 • Project
In this project, you'll build a Python application that can train an image classifier on a dataset, then predict new images using the trained model.
Instructor
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Content Developer
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Content Developer
Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques.
Instructor
After beginning his career in business, Michael utilized Udacity Nanodegree programs to build his technical skills, eventually becoming a Self-Driving Car Engineer at Udacity before switching roles to work on curriculum development for a variety of AI and Autonomous Systems programs.
Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.
Demonstrate proficiency with practical projects
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
Gain proven experience
Retain knowledge longer
Apply new skills immediately
Top-tier services to ensure learner success
Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.
Get help from subject matter experts
Learn industry best practices
Gain valuable insights and improve your skills
Unlimited access to our top-rated courses
Real-world projects
Personalized project reviews
Program certificates
Proven career outcomes
Full Catalog Access
One subscription opens up this course and our entire catalog of projects and skills.
Average time to complete a Nanodegree program
4 weeks
, Beginner
(256)
2 months
, Intermediate
4 weeks
, Intermediate
4 weeks
, Intermediate
4 weeks
, Advanced
1 month
, Intermediate
(235)
3 months
, Intermediate
4 weeks
, Beginner
4 weeks
, Intermediate
(909)
4 months
, Intermediate
4 weeks
, Intermediate
3 weeks
, Intermediate
4 weeks
, Intermediate
3 days
, Intermediate
Introduction to Neural Networks with TensorFlow
4 weeks
, Beginner
(256)
2 months
, Intermediate
4 weeks
, Intermediate
4 weeks
, Intermediate
4 weeks
, Advanced
1 month
, Intermediate
(235)
3 months
, Intermediate
4 weeks
, Beginner
4 weeks
, Intermediate
(909)
4 months
, Intermediate
4 weeks
, Intermediate
3 weeks
, Intermediate
4 weeks
, Intermediate
3 days
, Intermediate