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Learning Path: TensorFlow: The Road To TensorFlow Second Edition

If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this Learning Path will help you get up to speed.
/5
Created by Packt Publishing

8.7

CourseMarks Score®

9.2

Freshness

N/A

Feedback

7.7

Content

Platform: Simpliv Learning
Price: $39.99
Video: 10h22m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.7 / 10

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

Freshness Score

9.2 / 10
This course was last updated on 08/2020.

Course content can become outdated quite quickly.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

7.7 / 10
Video Score: 7.6 / 10
The course includes 10h22m 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: 10.0 / 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

Discover deep learning and machine learning with Python and TensorFlow

Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies. TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

This Learning Path begins by covering a mastery on Python with a deep focus on unlocking Python’s secrets. We then move on to understand deep learning as implemented by Python and TensorFlow. Finally, we solve common commercial machine learning problems using TensorFlow.

If you have no prior exposure to one of the most important trends impacting how we do data science in the next few years, this Learning Path will help you get up to speed.

The goal of this Learning Path is to help you understand deep learning and machine learning by getting to know Python first and then TensorFlow.

This Learning Path is authored by some of the best in their fields.

About the Authors

Daniel Arbuckle

Daniel Arbuckle got his Ph.D. In Computer Science from the University of Southern California. He has published numerous papers, along with several books and video courses, and is both a teacher of computer science and a professional programmer.

Eder Santana

Eder Santana is a Ph.D. candidate in Electrical and Computer Engineering. After working for 3 years with kernel machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras, the deep learning library for Python. Besides deep learning, he also likes data visualization and teaches machine learning, either on online forums or as a teacher assistant.

Dan Van Boxel

Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is well-known for “Dan Does Data”, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research and presented findings at the Transportation Research Board and other academic journals.

Shams Ul Azeem

Shams Ul Azeem is an undergraduate student of NUST Islamabad, Pakistan, in Electrical Engineering. He’s pursuing his career in machine learning, particularly in deep learning, by doing medical-related freelance projects with different companies.

Basic knowledge
Requires a firm understanding of Python and the Python ecosystem

Requirements

• Requires a firm understanding of Python and the Python ecosystem

You will learn

What will you learn
✓ Build Python packages to efficiently create reusable code
✓ Become proficient at creating tools and utility programs in Python
✓ Design and train a multilayer neural network with TensorFlow
✓ Understand convolutional neural networks for image recognition
✓ Create pipelines to deal with real-world input data
✓ Set up and run cross domain-specific examples (economics, medicine, text classification, and advertising)
✓ Learn how to go from concept to a production-ready machine learning setup/pipeline capable of real-world usage

This course is for

• This course is ideal for Python professionals looking to familiarize themselves with deep learning and machine learning. No commercial domain knowledge is required but familiarity with Python and matrix math is expected.

How much does the Learning Path: TensorFlow: The Road To TensorFlow Second Edition course cost? Is it worth it?

The course costs $39.99. And currently there is a 80% discount on the original price of the course, which was $199.99. So you save $160 if you enroll the course now.

Does the Learning Path: TensorFlow: The Road To TensorFlow Second Edition course have a money back guarantee or refund policy?

YES, Learning Path: TensorFlow: The Road To TensorFlow Second Edition 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 Learning Path: TensorFlow: The Road To TensorFlow Second Edition course, but there is a $160 discount from the original price ($199.99). So the current price is just $39.99.

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

8.7

CourseMarks Score®

9.2

Freshness

N/A

Feedback

7.7

Content

Platform: Simpliv Learning
Price: $39.99
Video: 10h22m
Language: English
Next start: On Demand

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