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Mastering Deep Learning Using Apache Spark

In this course, you’ll learn about the major branches of AI and get familiar with several core models of Deep Learning in its natural way.
/5
Created by Packt Publishing

8.8

CourseMarks Score®

9.7

Freshness

N/A

Feedback

7.5

Content

Platform: Simpliv Learning
Price: $149.99
Video: 2h3m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.7 / 10
This course was last updated on 11/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

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Content Score

7.5 / 10
Video Score: 7.5 / 10
The course includes 2h3m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.5 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Develop industrial solutions based on deep learning models with Apache Spark

Deep learning has solved tons of interesting real-world problems in recent years. Apache Spark has emerged as the most important and promising machine learning tool and currently a stronger challenger of the Hadoop ecosystem. In this course, you’ll learn about the major branches of AI and get familiar with several core models of Deep Learning in its natural way.

You’ll begin with building deep learning networks to deal with speech data and explore tricks to solve NLP problems and classify video frames using RNN and LSTMs. You’ll also learn to implement the anomaly detection model that leverages reinforcement learning techniques to improve cyber security.

Moving on, you’ll explore some more advanced topics by performing prediction classification on image data using the GAN encoder and decoder. Then you’ll configure Spark to use multiple workers and CPUs to distribute your Neural Network training. Finally, you’ll track progress, solve the most common problems in your neural network, and debug your models that run within the distributed Spark engine.

About the Author

Tomasz Lelek

Tomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He has worked with Spark API and the ML API for the past five years and has production experience in processing petabytes of data.

He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before solving a problem. He was a speaker at conferences in Poland, Confitura and JDD (Java Developers Day), and the Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference.

Requirements

• Basics of Machine Learning

You will learn

Configure a Convolutional Neural Network (CNN) to extract value from images
✓ Create a deep network with multiple layers to perform computer vision
✓ Classify speech and audio data
✓ Leverage RNN and LSTMs for video classification for hospital data
✓ Improve cybersecurity with deep reinforcement learning
✓ Use a generative adversarial network for training
✓ Create highly distributed algorithms using Spark

This course is for

• This course is for machine learning experts, AI experts, and data scientist experts who wish to learn about implementations with distributed deep learning. In summary, you’ll be a DL expert in a short time.

How much does the Mastering Deep Learning Using Apache Spark course cost? Is it worth it?

The course costs $149.99. And currently there is a 80% discount on the original price of the course, which was $749.99. So you save $600 if you enroll the course now.

Does the Mastering Deep Learning Using Apache Spark course have a money back guarantee or refund policy?

YES, Mastering Deep Learning Using Apache Spark has a 20-day money back guarantee. The 20-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Mastering Deep Learning Using Apache Spark course, but there is a $600 discount from the original price ($749.99). So the current price is just $149.99.

Who is the instructor? Is Packt Publishing a SCAM or a TRUSTED instructor?

Packt Publishing has created 659 courses that got reviews which are generally positive. Packt Publishing has taught 27 students and received a average review out of reviews. Depending on the information available, Packt Publishing is a TRUSTED instructor.

More info about the instructor, Packt Publishing

8.8

CourseMarks Score®

9.7

Freshness

N/A

Feedback

7.5

Content

Platform: Simpliv Learning
Price: $149.99
Video: 2h3m
Language: English
Next start: On Demand

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