Learn Deep Learning Online

Learn Deep Learning Online course taught by 8+ years experienced working professional. 100% practical course with real-time projects and Lifetime Access to Digital library. Sample Resume and Fast-track or  1 to 1 classes. Course Duration: 30+ hours.

Pre-requisites: Understanding linear algebra, calculus, & statistics.

about course 01

Deep Learning Online

Usually, We provide a 1-hour class from Monday through Friday. We can also arrange fast-track and one to one classes at no extra charges.

Deep Learning is part of a broader family of machine learning concerned with algorithms inspired by the structure, and function of the brain called artificial neural networks and it is also known as Deep structured learning. Learning can be supervised, semi-supervised or unsupervised. That imitates the working of the human brain in creating patterns for use in decision-making and in processing data.

We hire working Professionals with high relative domain experience. They are good at technical skills and communication skills.

Introduction to Data Analytics

  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature

 Introduction to R programming

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Data Manipulation in R

  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

 Data Import techniques in

  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Exploratory data Analysis

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs

Basics of Statistics & Linear & Logistic Regression

  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression

Data Mining: Clustering techniques, Regression & Classification

  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering

Anova & Sentiment Analysis

  • Anova
  • Sentiment Analysis

Data Mining: Decision Trees and Random Forest

  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

Project work

  • Real-time projects

At ground level, deep learning is a machine learning technique. It guides a computer to filter inputs through layers to learn how to predict and classify information. Observations are in the form of images, text, or sound.

CV, Interview Preparation

The instructor will share a sample resume before course completion. During course, you can seek the faculty’s help to make your CV. We’ll give you interview question answers.

Yes, Faculty will help you at the end of the course.
Yes, we'll provide you the sample resume.
We can provide you interview question answers. The course covered some real-time examples. These examples might help you.

Our training covered as many real-time examples as we can. This course may equivalent to 2-3 years of real experience. You have to work hard if you are aimed at 4+ years of experience.

No. We don't give you assurance. We may give you some references to attempt.
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Deep Learning Certification

We’ll guide you on how to get certified as Deep Learning developer. Our course isn’t aiming to get certified but covered real-time examples. Course helpful to get a job and fulfilling day to day activities in the office.

No. We aren't focused on certification.
We aren't suggesting that, but that's your wish. We don't encourage it but talk to support for help. Support people might help you to find the way. It's not part of the course.
We don't give you any assurance.

Please come with an exam code. We'll guide you further.

Learn deep learning training course at SVR technologies, after completion of the training, that will give you scope on your certification and skill. The earn Deep Learning leads to get good percentage in deep learning certification exam and then the user will be entitled to get a certification.
That provides online deep learning training which can be either paid or free you can take training online and complete the course, and then get certification for your knowledge on the deep learning course. The course has been composed to give your career a strong boost with Deep learning. There will be tests After Learn Deep Learning Training program, that reflects perfectly the type of questions asked in the particular certification exams and helps you score better marks in the certification exam. Once you are qualified for the exam then you will become Deep learning certified.

Deep Learning Developer Salary, Career

Deep Learning place a main role in present days. Deep Learning training is provided by top trainers who are well versed and who effectively conduct classes. it will become so very powerful and future ready

The average salary for "deep learning" approximately $79,316 per year for Engineer
Deep learning is known as neural organized learning. It is part of a more extensive group with a wide range of jobs. Deep learning engineers have numerous options for programming skills like building Convolutional neural network, Batch Normalization, etc. Some of the job opportunities available for DL learners like software engineer, research analyst, Data Analyst, Data Engineer, Bio information Software developer, etc.
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Deep Learning Project Support

We can provide job support for an additional fee. Contact the support team for fee details. You can choose either the hourly rate or monthly fee.
Yes, for an additional fee. We'll assign an expert to finish your job. Job support is different from training.
You can choose between hourly rate and monthly fee. Rate depending on some factors like time, difficulty, and profile.

General FAQs!

There are many ways to learn Deep learning. But it is very easy to learn from online resources and I think this is the best way. If you are interested to learn deep learning course. I can recommend you the SVR technologies that provide online deep learning course with experienced faculty.
Deep learning is exactly powerful because it makes hard things easy. The people who follow the deep learning tutorials and the original code work by researchers could easily find deep learning be so easy. The main reason is deep learning made such a splash is the very fact that it allows us to phrase several impossible learning problems as empirical loss minimization across gradient descent, a conceptually super simple thing.
Each of the steps in deep learning may take about 5–6 weeks' time. About 26 weeks from the time you start, you will have a solid foundation in deep learning.
There are different sources to start Deep learning such as online deep learning training courses and books, videos, etc. I would say don’t move further unless your basics are clear.
If you want to become proficient in deep learning in just one month. You have coding experience with relevant knowledge in mathematics and computer science, If you follow online deep learning courses, you can successfully complete your deep learning course.
First, you should learn what are the prerequisites to learn deep learning? And then start your course online, this is the best way to beginners to start their online deep learning training. There are many resources online on Deep Learning.
The main difference between deep learning vs machine learning stems from the way data is presented to the system. Machine learning algorithms almost always require structured data, whereas deep learning networks rely on layers of the artificial neural networks.

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