# Introduction to Deep Learning

Course

This course covers foundational deep learning theory and practice. We begin with how to think about deep learning and when it is the right tool to use. The course covers the fundamental algorithms of deep learning, deep learning architecture and goals, and interweaves the theory with implementation in PyTorch.

This course covers foundational deep learning theory and practice. We begin with how to think about deep learning and when it is the right tool to use. The course covers the fundamental algorithms of deep learning, deep learning architecture and goals, and interweaves the theory with implementation in PyTorch.

Intermediate

4 weeks

Real-world Projects

Completion Certificate

Last Updated July 5, 2024

Skills you'll learn:

Model performance metrics • Perceptron • Neural networks • Deep learning

Prerequisites:

Linear algebra

## Course Lessons

Lesson 1

#### Introduction to Deep Learning

Meet your instructor, get an overview of the course, and find a few interesting resources in this introductory lesson.

Lesson 2

#### Deep Learning

This introductory lesson on Deep Learning covers how experts think about deep learning and how to know when deep learning is the right tool for the job, including some examples.

Lesson 3

#### Minimizing Error Function with Gradient Descent

Beginning with PyTorch and moving into both Error Functions, Gradient Descent, and Backpropagation, this lesson provides an overview of foundational neural network concepts.

Lesson 4

#### Intro to Neural Networks

This introduction to neural networks explains how algorithms inspired by the human brain operate and puts to use those concepts when designing a neural network to solve particular problems.

Lesson 5

#### Training Neural Networks

Learn how to train neural networks and avoid overfitting or underfitting by employing techniques like Early Stopping, Regularization, Dropout, Local Minima, and Random Restart!

Lesson 6 • Project

#### Developing a Handwritten Digits Classifier with PyTorch

In this project, you will use your skills in designing and training neural networks to classify handwritten digits using the well-known MNIST dataset.

## Taught By The Best

Principal AI Researcher

Erick Galinkin is a hacker and computer scientist, leading research at the intersection of security and artificial intelligence at Rapid7. He has spoken at numerous industry and academic conferences on topics ranging from malware development to game theory in security.

## The Udacity Difference

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

## Unlock access to .css-m82pq9{font-weight:500;color:var(--chakra-colors-accent-lime);}Introduction to Deep Learning and the rest of our best-in-class catalog

• 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.

### 4 Months

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Average time to complete a Nanodegree program

*Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

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4 weeks

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## Get Started Today

Introduction to Deep Learning

## Month-To-Month

• Real-world projects
• Personalized project reviews
• Program certificates
• Proven career outcomes

## 4 Months

Average time to complete a Nanodegree program

• All the same great benefits in our month-to-month plan
• Most cost-effective way to acquire a new set of skills
Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

(909)

4 months

, Intermediate

(235)

3 months

, Intermediate

4 weeks

, Beginner

3 weeks

, Intermediate

1 month

, Intermediate

(256)

2 months

, Intermediate

3 days

, Intermediate

4 weeks

, Intermediate

4 weeks

, Intermediate

4 weeks

, Intermediate

(328)

2 months

(450)

3 months

Intermediate

4 weeks

4 weeks

, Intermediate