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Keras library for deep learning with Machine Learning

Name: Keras library for deep learning with Machine Learning
Rating: 6.2 (28 reviews)

An expert level Practical Guide to Tuning Deep Learning Models with Keras for Data Scientists and ML in detail

3.0

☆☆☆☆☆ 3.0/5

(28 reviews)

1,281 students

Created by

6.2

Classbaze Grade®

5.2

Freshness

5.1

Popularity

7.8

Material

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Platform: Udemy

Price: check current price

Video: 5h 55m

Language: English

Next start: On Demand

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Classbaze Rating

Classbaze Grade®

6.2 / 10

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

Freshness

5.2 / 10

This course was last updated on 6/2018.

Course content can become outdated quite quickly.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

5.1 / 10

We analyzed factors such as the rating (3.0/5) 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

7.8 / 10

Video Score: 8.5 / 10

The course includes 5h 55m 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 6 hours 24 minutes of 15 Keras courses on Udemy.

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

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About the course

Keras is an open source neural network library written in Python. It is capable of running on top of MXNet, Deep learning Tensorflow, CNTK, or Theano. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible.
This course provides a comprehensive expert level details in deep learning(Keras). We start by a brief recap of the most common concepts found in machine learning. Then, we introduce neural networks and the optimization techniques to train them. We’ll show you how to get ready with Keras API to start training deep learning models, both on CPU and on GPU. Then, we present two types of neural architecture: convolutional and recurrent neural networks
In this course, we will start from the very scratch. This is a very applied course, so we will immediately start coding even without installation! You will see a brief bit of absolutely essential theory and then we will get into the environment setup and explain almost all concepts through code. You will be using Keras — one of the easiest and most powerful machine learning tools out there.
In this course we will get started with Keras, where we’ll compare with TensorFlow to make it easier to understand, and to build your knowledge upon itself. By connecting new information with existing knowledge, you’ll form stronger connections in your brain on all of this valuable tech content. You’ll learn where and how to use Keras. By the end of this course you’ll have such a solid grasp you can add all of these technologies as qualifications on your resume, LinkedIn profile, or personal website.
Also we will learn to build a basic image recognition model and much much more.

What can you learn from this course?

✓ You’ll be able to build deep learning models using Keras
✓ You’ll learn how to evaluate the performance of neural networks built using Keras
✓ You’ll understand how to tune Keras layers on different network topologies.
✓ Knowledge of code of several neural networks from the ground up in Python using Keras
✓ To distinguish which practical applications can benefit from deep learning
✓ To train and run models in the cloud using a GPU
✓ To build, train and use fully connected, convolutional and recurrent neural networks
✓ To apply deep learning to solve supervised and unsupervised learning problems involving images, text, sound, time series and tabular data
✓ To install and use Python and Keras to build deep learning models
✓ To understand and code Convolutional Neural Networks as well as graph-based deep models involving residual connections and inception modules
✓ To build a simple image recognition project using the CIFAR-10 library
✓ To build Handwritten digit recognition with advanced MNIST
✓ To Build Image recognition with CIFAR-100

What you need to start the course?

• Basic Knowledge of Python
• Basic Knowledge of Artificial Neural Network
• No prior detailed knowledge of machine learning is required
• Curiosity & a bit of precious(your) time( with patience) to learn and Understand from Instructor

Who is this course is made for?

• If you are interested in building and tuning deep learning models in Keras then this course is for you
• Anyone who knows a bit of machine learning and wants to learn deep learning (this course focuses on deep learning -Keras)
• Anyone who is a researcher, software engineer or educator working in machine learning /Deep Learning and wants to move from theory to practice
• Anyone who is looking for the best course on Keras deep learning

Are there coupons or discounts for Keras library for deep learning with Machine Learning ? 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 $13.6 of 15 Keras courses. So this course is 10% more expensive than the average Keras course on Udemy.

Will I be refunded if I'm not satisfied with the Keras library for deep learning with Machine Learning course?

YES, Keras library for deep learning with Machine Learning 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 Keras library for deep learning with Machine Learning 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 Indra Programmer?

Indra Programmer has created 20 courses that got 468 reviews which are generally positive. Indra Programmer has taught 4,527 students and received a 2.8 average review out of 468 reviews. Depending on the information available, we think that Indra Programmer is an instructor that you can trust.

Learn everything about

Indra Programmer

An ex-Cisco, GE, HP& JP Morgan Chase.(Data scientist)

Lakshmish academy(Formerly Indira Academy) was found in 2001 with the belief of providing high quality ,in depth courses on Radio diagnosis & Technology, available at affordable price. We strive to serve & change lives by our teaching. We are bunch of Instructors who are Super specialized & Doctorate(PHD) in Computer Science & Data Sciences .We have experience in teaching our subjects for over two decade now .We have helped hundreds of people become champion in the subjects and enabled them to change their lives. Our graduates work at companies like Google, Cisco, and Facebook. The whole effort is for the betterment of students and knowledge sharing. We have been hired to impart the best technical training’s by the companies like GE, Cisco, HP,J P Morgan Chase and Flipkart. We have now focused our time on bringing our classroom teaching experience to an online environment. Join us in this amazing adventure!

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