Johns Hopkins University
Advanced Neural Network Techniques
Johns Hopkins University

Advanced Neural Network Techniques

Zerotti Woods

Instructor: Zerotti Woods

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze and implement Recurrent Neural Networks (RNNs) to process sequence data and solve tasks like time series prediction and language modeling.

  • Explore autoencoders for data compression, feature extraction, and anomaly detection, along with their applications in diverse fields.

  • Develop and evaluate generative models, such as GANs, understanding their mathematical foundations and deployment challenges.

  • Apply reinforcement learning techniques using Markov Chains and deep neural networks to tackle complex decision-making problems.

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

December 2024

Assessments

8 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Foundations of Neural Networks Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 5 modules in this course

This course explores advanced concepts and methodologies in neural networks, focusing on Recurrent Neural Networks (RNNs) and Autoencoders. You will analyze the core elements of these architectures, evaluate their applications across various domains, and propose innovative research directions. The curriculum also covers Generative Neural Networks, including their mathematical foundations and deployment constraints. Additionally, learners will gain hands-on experience in Reinforcement Learning, utilizing Markov Chains and Deep Neural Networks to solve complex problems. By the end of the course, you will be equipped with the skills to drive advancements in the field of neural networks.

What's included

2 readings

This module will discuss Recurrent Neural Networks. Students will explore the reasons for RNNS along with different techniques.

What's included

1 video1 reading2 assignments1 ungraded lab

This module will discuss Auto Encoders. Learners will explore the reasons for autoencoders along with different techniques and applications.

What's included

1 video1 reading2 assignments

This module will discuss Generative Deep Learning Models. You will study two particular models and go through examples of where they have been successfully deployed.

What's included

1 video1 reading2 assignments

This module will introduce reinforcement learning. We will discuss Markov Chains, Q-learning, and Deep Q-learning.

What's included

4 videos1 reading2 assignments

Instructor

Zerotti Woods
Johns Hopkins University
0 Courses0 learners

Offered by

Recommended if you're interested in Algorithms

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Algorithms? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions