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neural networks transfer learning and sentiment prediction

How to use transfer learning in keras for beginners. Neural networks for sentiment prediction
3.9
3.9/5
(38 reviews)
258 students
Created by

8.4

Classbaze Grade®

8.1

Freshness

7.7

Popularity

8.9

Material

How to use transfer learning in keras for beginners. Neural networks for sentiment prediction
Platform: Udemy
Video: 3h 30m
Language: English
Next start: On Demand

Best Neural Networks classes:

Classbaze Rating

Classbaze Grade®

8.4 / 10

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

Freshness

8.1 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly.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.

Popularity

7.7 / 10
We analyzed factors such as the rating (3.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.9 / 10
Video Score: 8.1 / 10
The course includes 3h 30m 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.
The average video length is 4 hours 11 minutes of 40 Neural Networks courses on Udemy.
Detail Score: 8.7 / 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: 9.9 / 10

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

This course contains:

4 articles.
3 resources.
0 exercise.
0 test.

In this page

About the course

machine learning / ai ? How to learn machine learning in python? And what is transfer learning ? How to use it ? How to create a sentiment classification algorithm in python?
Good questions here is a point to start searching for answers
Let’s dive into data science!
In the world of today and especially tomorrow machine learning will be the driving force of the economy. No matter who you are, an entrepreneur or an employee, and in which industry you are working in, machine learning will be on your agenda.
It’s time to get your hands dirty and dive into one of the hottest topics on this planet.
To me the best way to get exposure is to do it “Hands on”. And that’s exactly what we do. Together we will learn how to use transfer learning in keras to make to classify our own images. We learn how we can customize pretrained deep learning neural networks. In the second part of this course we will create a step by step approach to classify movie reviews. Finally we will train and evaluate our model and create prediction of our own reviews.
All of this will be accomplished in ca. 3 hours.
Exited? Hope you are. Can wait to see you in the first lecture. Let’s get into it
See you there

What can you learn from this course?

✓ Apply transfer learning and leverage pretrained deep learning models
✓ Create a movie sentiment review classification algorithm with keras
✓ Improve understanding and coding of neural networks in python

What you need to start the course?

• Your personal interest in the topic
• Your committment to code along with me
• Basic knowledge in Python

Who is this course is made for?

• students who want to learn how to apply transfer learning in keras
• beginners in neural networks and machine learning
• students who are eager to learn and dive into one of the hottest topics currently out there
• students who want to make their own predictions with neural networks
• students who want to use a pretrained deep learning model in keras
• You want to take advantage of the data driven opportunity ahead

Are there coupons or discounts for neural networks transfer learning and sentiment prediction ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.
The average price is $14.4 of 40 Neural Networks courses. So this course is 4% more expensive than the average Neural Networks course on Udemy.

Will I be refunded if I'm not satisfied with the neural networks transfer learning and sentiment prediction course?

YES, neural networks transfer learning and sentiment prediction has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the neural networks transfer learning and sentiment prediction course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who will teach this course? Can I trust Dan We?

Dan We has created 58 courses that got 11,774 reviews which are generally positive. Dan We has taught 74,447 students and received a 4.4 average review out of 11,774 reviews. Depending on the information available, we think that Dan We is an instructor that you can trust.
Coach
Dan is a 33 year old entrepreneur ,data enthusiast  consultant and trainer. He holds a master degree and is certified in Power BI, Tableau, Alteryx and KNIME.

He is currently working in Business Intelligence field and helps companies and individuals to get key insights from their data to deliver long term growth and outpace their competitors.

He has a passion for learning and teaching and is committed to support other people, by offering them educational services to help them accomplishing their goals and becoming the best in their profession or explore a new career path.

“The only failure is not trying”

You can do it!

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8.4

Classbaze Grade®

8.1

Freshness

7.7

Popularity

8.9

Material

Platform: Udemy
Video: 3h 30m
Language: English
Next start: On Demand

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