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Deep Learning with Java

New – This self-paced course provides fundamentals of neural network modeling using Deeplearning4j and Java.

GK# 7724

Course Overview

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Java is a great language for environments where production-readiness is a factor. This course teaches you how to perform deep learning effectively, by leveraging the power of Java. You will learn how to use DeepLearning4J, the popular Java library for deep learning, to a range of real-world use cases. You will then be introduced to Neural networks and later you will learn how to implement them. You will also be given an insight about various deep learning algorithms and how to implement them for a variety of different data sets. By the end of the course, you’ll be ready to tackle deep learning with Java. Wherever you’ve come from—whether you’re a data scientist or Java developer—you will become a part of the deep learning revolution!

Schedule

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  • Delivery Format:
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What You'll Learn

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  • Get a practical deep dive into machine learning and deep learning algorithms
  • Implement machine learning algorithms related to deep learning
  • Explore neural networks using some of the most popular Deep Learning frameworks
  • Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms
  • Discover more deep learning algorithms with Dropout and Convolutional Neural Networks
  • Gain an insight into the deep learning library DL4J and its practical uses

Outline

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On-Demand Outline

Deep Learning Overview

Preparing for Deep Learning

Deep Learning Libraries

Implementing neural networks

Practical Applications of Deep Learning

Fine-tuning your deep learning model

Who Should Attend

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This course is perfect for data scientists and machine learning developers/engineers who want to dive into the exciting world of deep learning. A fundamental knowledge of machine learning and knowledge of Java programming is all you need to get started with this course.

Course Delivery

This course is available in the following formats:

On-Demand

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