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Machine Learning 2-MLP and neural network,autoencoders -Tensor flow and Keras

This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning and also the basics of Mac...
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27 students
Created by

7.8

Classbaze Grade®

5.9

Freshness

N/A

Popularity

9.3

Material

Platform: Skillshare
Video: 2h 57m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

7.8 / 10

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

Freshness

5.9 / 10
This course was last updated on 7/2018.

Course content can become outdated quite quickly.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

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

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

9.3 / 10
Video Score: 8.0 / 10
The course includes 2h 57m 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 8 hours 18 minutes of 153 Deep Learning courses on Skillshare.
Detail Score: 9.9 / 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: 10.0 / 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 tests or quizzes.

In this page

About the course

This course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning and also the basics of Machine learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand and its application .

Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!

If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry – and prepare you for a move into this hot career path. This is a comprehensive course with very crisp and straight forward intent.

This course covers a variety of topics, including

  • Neural Network Basics

  • TensorFlow detailed,Keras,Sonnet etc

  • Artificial Neural Networks

  • Types of Neural network

  • Feed forward network

  • Radial basis network

  • Kohonen Self organizing maps

  • Recurrent neural Network

  • Modular Neural networks

  • Densely Connected Networks

  • Convolutional Neural Networks

  • Recurrent Neural Networks

  • Machine Learning 

  • Deep Learning Framework comparisons

There are many Deep Learning Frameworks out there, so why use TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. 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. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, IBM, Intel, and of course, Google!

Become a machine learning guru today! We’ll see you inside the course!

What can you learn from this course?

This is designed to help those who want to familiarize themselves with TensorFlow functions. Particulary, I focus on comparing TensorFlow functions with the equivalent functions in NumPy, the de facto standard numerical computation library. I hope this will help you get comfortable with TensorFlow quickly.

The basic outline will be as follows, though this is not 100% fixed.

  • Constants, Sequences, and Random Values (DONE)
  • Graphs (DONE)
  • Variables (DONE)
  • Reading Data (DONE)
  • Tensor Transformations (DONE)
  • Math Part 1 (DONE)
  • Math Part 2 (DONE)
  • Math Part 3 (DONE)
  • Strings (WIP)
  • Control Flow (DONE)
  • Images (WIP)
  • Sparse Tensors (DONE)
  • Neural Network Part 1 (DONE)
  • Neural Network Part 2 (DONE)
  • Neural Network Part 3 (WIP)
  • Seq2Seq (DONE)
  • Audio_Processing (DONE)

What you need to start the course?

Intermediate knowledge of Deep Learning is required to begin this course as it is an advanced course.

Who is this course is made for?

This course was made for advanced-level students.

Are there coupons or discounts for Machine Learning 2-MLP and neural network,autoencoders -Tensor flow and Keras ? What is the current price?

You can enrol in this course with a Skillshare subscription that costs $8/month, but you start with a FREE 7-day trial. You can also enrol in thousands of courses on a variety of topics with your subscription, including several Deep Learning courses.
The average price is $16.2 of 153 Deep Learning courses. So this course is -100% more expensive than the average Deep Learning course on Skillshare.

Will I be refunded if I'm not satisfied with the Machine Learning 2-MLP and neural network,autoencoders -Tensor flow and Keras course?

There is no money-back guarantee with Skillshare, but you can start with a free one-week trial to learn without risk. With the subscription, you can download classes to your tablet or phone using the Skillshare app.

Are there any financial aid for this course?

At the moment we couldn't find any available scholarship forMachine Learning 2-MLP and neural network,autoencoders -Tensor flow and Keras, but you can access more than 30 thousand classes for $8/month on Skillshare, including this one!

Who will teach this course? Can I trust Indira Programmers?

Indira Programmers has created 4 courses that got 1 reviews which are generally positive. Indira Programmers has taught 188 students and received a 4.0 average review out of 1 reviews. Depending on the information available, we think that Indira Programmers is an instructor that you can trust.
An ex-Cisco,GE, JPM Chase:Data Scientist
An ex-Cisco,GE, JPM Chase:Data Scientist
Browse all courses by on Classbaze.

7.8

Classbaze Grade®

5.9

Freshness

N/A

Popularity

9.3

Material

Platform: Skillshare
Video: 2h 57m
Language: English
Next start: On Demand

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