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Introduction to Deep Learning

  • Number of Courses9 courses
  • Duration6 hours

Deep learning is a subset of machine learning, utilizing artificial neural networks to model and understand complex patterns in data. It enables systems to improve their performance on tasks like image and speech recognition, natural language processing, and more, by learning from large amounts of data. This learning path gives you a comprehensive introduction into this topic so you can springboard into more advanced machine learning topics.

Courses in this path

Introduction to Deep Learning

This learning path gives you a comprehensive introduction into this topic so you can springboard into more advanced machine learning topics.

Neural Networks for Data Professionals: A Comprehensive Introduction

  • by Pratheerth Padman
  • 39m Duration

Demystifying Image Recognition: Dive into Deep Learning

  • by Anand Saravanan
  • 27m Duration

Mastering Natural Language Processing (NLP) with Deep Learning

  • by Alper Tellioglu
  • 41m Duration

Unlocking Speech Recognition: Deep Learning in Acoustics

  • by Mohamed Echout
  • 38m Duration

Crafting Intelligent Recommendation Systems with Deep Learning

  • by Daniel Stern
  • 40m Duration

Convolutional Neural Networks (CNNs): Visual Mastery with Deep Learning

  • by Axel Sirota
  • 37m Duration

Recurrent Neural Networks (RNNs): Deep Learning for Sequences and Time Series

  • by Pinal Dave
  • 31m Duration

Diving Deep into Deep Belief Networks (DBNs)

  • by Alper Tellioglu
  • 37m Duration

Supplemental Learning

Enhance the knowledge you learned previously by watching this supplemental content.

Deep Learning: The Big Picture

  • by Matthew Renze
  • 1h 27m Duration
  •  (506)

Learn with the best

Pratheerth Padman
Pratheerth Padman
Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor's in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.
Anand Saravanan
Anand Saravanan
Anand is a software engineer and is enthusiastic about AI and its multidisciplinary applications. He has always had a passion for technology and how it can be used to help people and businesses. Excellence in various programming languages such as C++, Java, R, Python, SQL, Hadoop, etc., he is a man who has an itch to constantly learn and share his knowledge. He has worked with Fortune 500 companies in various sectors to help them effectively use the data at hand to help make better business dec... more
Alper Tellioglu
Alper Tellioglu
I am a developer, and passionate about technology in all kind. That's why I worked on several development areas in the past, and still exploring other technologies and frameworks that catch my interest. Besides engineering, I am interested in design and art. I like building things with small and dynamic teams. Working in startup environment keeps me motivated!
Mohamed Echout
Mohamed Echout
Mo is a tech educator and solutions provider who has helped some of the biggest brands to make technology engaging and relevant. With a passion for breaking down complex concepts, he delivers training and AI solutions that drive real results. Making tech practical is his mission!
Daniel Stern
Daniel Stern
Daniel Stern is a coder, web developer and programming enthusiast from Toronto, Ontario, where he works as a freelance developer and designer. Daniel has been working with web technologies since the days of the dial-up, and is especially keen on JavaScript, CSS, Angular, React and TypeScript. Over the course of his work as an open-source developer, he's created many community-standards web tools including Angular Audio and Range.CSS. His tool, Range.CSS, was featured in a guest article on CSS-T... more
Axel Sirota
Axel Sirota
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.
Pinal Dave
Pinal Dave
Pinal Dave is an SQL Server Performance Tuning Expert and independent consultant with over 22 years of hands-on experience. He holds a Master of Science degree and numerous database certifications. Pinal has authored 14 SQL Server database books and 81 Pluralsight courses. To freely share his knowledge and help others build their expertise, Pinal has also written more than 5,800 database tech articles on his blog at https://blog.sqlauthority.com.
Matthew Renze
Matthew Renze
Matthew Renze is an AI researcher, consultant, and author. As the founder of Renze Consulting, he has trained over 500,000 software developers and IT professionals. As the president of the Renze AI Research Institute, he researches cognitive architectures for agentic AI systems. Matthew has a Master's degree in Artificial Intelligence from Johns Hopkins University. He is a Microsoft MVP in AI, a Microsoft Regional Director, and an author for Pluralsight. You can learn more at https://matthewrenz... more

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