Deep Learning Course and Certification Training Online | Careerera

Deep Learning Certification Training

Know your way around the Deep Learning Certification Training .

This Deep learning course will teach the learner how to design machine learning algorithms with the help of artificial neural networks. Deep learning is a subset of the field of machine learning. It revolves around designing artificial neural networks and other such artifacts of computer science. Their design is based on the structure and function of human brains. Not only do they attempt to model machines on the working of a human brain, they also attempt to give machines massive data sets to train the artificial neural networks. This is similar to the way a human brain learns and metamorphosizes based on the information it is fed.

So deep learning scientists attempt to give machines memories of experiences so that they may learn from them, imbibe knowledge from them, and modify their approaches to reasoning and logic based on them. This way the machines can improve their logical and reasoning processes and become more efficient and accurate at sorting through data. There are many deep learning online courses in the market, but our deep learning course exceeds them all in its comprehensiveness and relevance.

Our deep learning certification will be very beneficial for learners. This is because it is a very exciting time for deep learning scientists and a very good time for a beginner to enter into the field of deep learning. This is because due to advances in computer science and electronics, we as human beings possess extremely large amounts of computing power and data storage capacity. We are also generating exponentially more data globally than before. So it is now possible to use these mounds of data to train extremely large artificial neural networks. Several companies have already taken advantage of these advances to great effect. Companies like Google, Baidu, Facebook, and Twitter already use the principles of deep learning to predict user behaviour, give accurate priority to certain keywords or search terms, and target users with advertisements more effectively.

So dive into deep learning with the best deep learning course available in the market and start teaching machines how to learn with great efficacy.

What you will learn -

  • You will learn exactly what neural networks are, how to design neural networks, and the basic principles behind the creation of neural networks.
  • You will learn how to conduct supervised learning with neural networks. This includes training machines with pairs of data sets where the output value for each input value is known beforehand. For example marking emails as ‘spam’ and ‘not spam.’
  • You will learn how to carry out binary classification. This involves putting different input values into two predtermined categories or ‘class labels.’
  • You will learn how to carry out appropriate regression analysis to describe data and expand on the relationship between one dependent binary variable and one or more ratio-level independent variables.
  • You will learn how to vectorize artificial neural networks and deep learning algorithms in order to make your code execute faster and become more efficient.
  • You will learn how to implement a gradient descent and optimize algorithms by moving in the direction and area of the steepest descent iteratively.

Who should take this course -

Our deep learning training is suitable for all classes of learners provided they have a technical background. One should have some basic prior programming experience. They should have a rudimentary grasp of Data Science, although it won’t be a big issue if they do not have it. There is no educational qualification requirement since the course will teach all the basics from scratch and doesn’t involve many technical fields. One should have a strong inclination towards mathematics and statistics in particular.

Why Choose Careerera -

Our  Deep learning course has several salient points, some of which are mentioned below.

  1. The instructors – We have a policy of hiring the instructors only after subjecting them to a very rigorous screening process. They are tested extensively to make sure that they are experts in their subject matter and have well developed teaching skills. They teach the learners using the latest teaching methodologies and techniques. They have decades of experience from working in the machine learning field.
  2. The course study materials - The instructors provide video lectures, notes, assignments, surprise quizzes, and capstone projects. The study materials are especially designed to help the learners engage with them in a beneficial way.
  3. The course curriculum - The course curriculum has been created carefully and painstakingly to provide the most comprehensive and relevant learning experience to the learners. All the latest industry trends are included in the course. This is a big reason to take our deep learning course online.
  4. The feedback – Our courses are designed in such a way that the instructors get input from the learners in the form of assignments, surprise quizzes, and capstone projects. After receiving this input, they evaluate it with great care and attention and give feedback to the learners in return.
  5. Available 24/7 – We are available to the learners 24/7 via video, call, email, and chat. Not only will they get a deep learning certificate by taking our course, they will also be able to ask any questions at any time through any of these channels and the instructors will respond to them. They can get their doubts cleared and get their queries resolved at any time.

Program Curriculum

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See which topics you will have to assimilate.

  • Chapter - 1
  • Introduction to Deep Learning
  • Chapter - 2
  • Neural Network
  • Chapter - 3
  • Advantage of Deep Learning over Machine learning
  • Chapter - 4
  • Understanding Neural Networks with TensorFlow
  • Chapter - 5
  • Activation Functions
  • Chapter - 6
  • Training a Perceptron
  • Chapter - 7
  • TensorFlow code-basics
  • Chapter - 8
  • How Backpropagation Works?
  • Chapter - 9
  • Introduction to CNNs
  • Chapter - 10
  • Architecture of a CNN
  • Chapter - 11
  • Introduction to RNN Model & its application.

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FAQ

Get the answers to your questions here.

Q1 : Where can I study deep learning?

You can study deep learning with us, at Careerera. We provide the best deep learning course available on the market. We also host our classes on our custom built Learning Management System or LMS. It has state-of-the-art features such as video sections, audio lecture sections, assignment submission links, capstone project submission links, feedback sections, and even student forums. With these advanced features you will be able to have an extremely pleasant learning experience. Not only this, we provide world-class instructors who have been chosen specifically for their decades of experience from working in the field of deep learning. They have immense subject matter expertise and a vast amount of knowledge of their field. They have very well developed teaching skills and will teach the learners using the most current and latest methodologies.

Q2 : How long does it take to learn deep learning?

This depends on the previous experience of the learner. Our deep learning course is for all classes of learners. They can be absolute beginners to the field of deep learning or they can be experienced professionals seeking to add prestigious credentials to their names. If they are an absolute beginner, it can take anywhere from 1 to 2 years to gain a background in artificial intellgence, computer science, mathematics (specifically statistics) in order to be able to enter into the field of deep learning. If one doesn’t invest this time into learning about these various fields and gaining a background knowledge and experience, they will not be able to enter into the field of deep learning. At least, they will not be able to do so with a high degree of confidence. When one does enter the field of deep learning, they will have to start with the foundational concepts first. That itself takes at least a few months. Then they will progress to actually implementing artificial neural networks. Then they will learn about algorithm optimization and how to make those artificial neural networks run faster and run more efficiently. All this takes at least 1 year. Further years will have to be allotted to learning the nuances and the nooks and crannies of deep learning because it is a vast field.

Q3 : What is the best deep learning course?

Careerera’s Deep learning course is by far the best deep learning course in the market right now. It has everything desirable in a course. A learner will be served with the best possible calibre of knowledge. They will learn all the topics which are central and relevant to the field. They will be taught about all the trends which are current in the industry. All the latest developments and advances in the field of deep learning will be taught to them. Our course has world-class instructors. They will teach the learnes with the latest teaching methodologies. They will go through the course curriculum patiently and gently and will set aside an adequate amount of time for each topic of the curriculum. Our course curriculum is designed to be of exactly that difficulty level which a learner will find comfortable and invigorating. It will be neither difficult enough that it becomes prohibitive, nor will it be an absolute cakewalk. The learners will find that the course curriculum is full of interesting topic which will arouse their interest and will keep them eager to learn more. So join Careerera’s deep learning course for having an excellent learning experience.

Q4 : Is deep learning difficult?

This depends on the prior experience of the learner. If one is as absolute beginner to computer science, they will find deep learning to be incomprehensible. In fact, they might find it so difficult that they might give up on the idea of learning deep learning forever. So it is not advisable to try to enter the field of deep learning if one is an absolute beginner to computer science. However, if one has some prior experience in the field of computer science, artificial intelligence, mathematics, and especially statistics, they will not find deep learning to be that difficult. To be sure, it is a very advanced and complex field, but with the right amount of study, hard work, dedication, and intelligence, one can enter into it and advance considerably.

Q5 : How do I start deep learning?

First, one should learn Python. One can learn Python by taking an online course, or from web resources such as articles and videos. One can also learn Python by purchasing some books and reading them. Then they should download and install Python. Next they should start to learn mathematics from books. Once they have become sufficiently proficient with mathematics they should start learning about statistics. Next, they should try to specialize in statistics. Next, they should learn about machine learning. They can learn about machine learning with online courses. They can also consult web resources such as videos and articles. They can also read books on machine learning. After they have learned machine learning they can finally start to learn about deep learning.

CERTIFICATE

OF COMPLETION
THIS IS TO CERTIFY THAT

John Carter

HAS SUCCESSFULLY COMPLETED

The Training Course Of The Deep Learning Certification Training with
all the Mandatory Course Requirements with Distinction.

Certificate ID:32480XXX

Certificate URL : https://certificate.careerera.com/certificate/pdzB3dooSDI7nKEw

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