Deep Learning Course with Tensorflow Certification Course by Edureka: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based	Frequency of Classes Weekends

Course overview

This course is tailor-made for students who are already coding in Python. This course is more advanced and tends to coders or developers who are interested in Deep Learning. Deep Learning is a little different from Machine Learning and deals with Artificial Intelligence. Deep learning is an AI functionality which tries to recreate human behavior when it processes data for purposes of detection of objects and speech, language translation and decision-making.

With this course, the student will be able to successfully differentiate between Deep Learning and Machine Learning. After the student learns the basic concepts of Deep Learning, they will learn how to successfully navigate the TensorFlow 2.x package in this course. A deeper dive will be taken when learning about the above concepts and topics such as CNN, RCNN, LSTM, RNN and RBM will be introduced.

After finishing the course, the students will be able solve real-time projects using these concepts. The projects could include emotion and gender detection or auto image captioning and many others.

Course and certificate fees

Fees information

₹ 17,995 ₹19,995

The course is available for the fee of Rs. 19,995. But if you enroll now, there is a 10% discount so the course is available at only Rs. 17,995.
The students also have an option to avail of an EMI offer at 0% interest at Rs. 5,999/month.
There will also be a GST fee added to the total.

Fee Category	Amount in Rs.
Course Fee	19995

certificate availability

Yes

certificate providing authority

Edureka

Who it is for

Business analyst

The people who will benefit most from this particular course are:

CS developers who are hoping to earn the title of a Data Scientist
Managers who are leading a team of data analysts
Business analysts who want to learn more about concepts of deep learning
Analysts working in Predictive Analysis
Analysts from other fields who want to learn more about concepts of Data Science

Eligibility criteria

Certification Qualifying Details

After the successful course completion, the candidates will be rewarded with a certificate.

What you will learn

Knowledge of deep learning

When the student completes this course successfully, they will be able to:

Apply the concepts of deep learning in real life projects
Successfully navigate the TensorFlow 2.0 package in Python
Understand and apply the concepts of CNN, LSTM, RBM, CNN and RNN.
Perform functions such as auto-image captioning and emotion/gender detection
Understand and perform multiple case studies on deep learning

The syllabus

Generative adversarial network (GAN)

Types of GAN
Understanding GAN
Recent advances: GAN
What is a generative adversarial network?
Which face is fake?
Step by step generative adversarial network implementation
How does GAN work?

LSTM

Bidirectional LSTM
LSTM architecture
Workflow of BPTT
Sequence generation
Backpropagation through time
Vanilla LSTM
Stacked LSTM
How to increase the efficiency of the model?
CNN LSTM
Forget gate
What is LSTM?
Output gate
Types of LSTM
Input gate
Sequence prediction
Structure of LSTM
Types of sequence-based model
Sequence classification

Getting started with TensorFlow 2.0

Model optimizer
Defining sequence model layers
Model loss function
Installing TensorFlow 2.x
Layer types
Model training
Activation function
Introduction to TensorFlow 2.x
Digit classification using simple neural network in TensorFlow 2.x
Model compilation
Using Adam optimizer
Adding hidden layer
Improving the model
Adding dropout

Emotion and gender detection

Emotion detection architecture
Where do we use emotion and gender detection?
Implementation on Colab
How does it work?
Face/emotion detection using Haar Cascade

Introduction to deep learning

Epoch
Machine learning vs. deep learning
Learning rate
Single layer perceptron
What is deep learning?
Batch size
What is perceptron?
Use cases of deep learning
Activation function
Curse of dimensionality
Human brain vs. neural network

Boltzmann machine and autoencoder

Distribution of boltzmann machine
Why did RBM come into picture?
Brief on types of autoencoders
What is the Boltzmann machine (BM)?
Applications of autoencoders
Architecture of autoencoders
Step by step implementation of RBM
Understanding autoencoders
Identify the issues with BM

Auto image captioning using CNN LSTM

COCO dataset
Architecture of inception V3
LSTM or text processing
Auto image captioning
Freeze model
Inception V3 model
Pre-trained model
CNN for image processing
Modify last layer of pre-trained model

Introduction RNN and GRU

Issues with Feed Forward Network
Recurrent Neural Network (RNN)
Architecture of RNN
Calculation in RNN
Backpropagation and Loss calculation
Applications of RNN
Vanishing Gradient
Exploding Gradient
What is GRU?
Components of GRU
Update gate
Reset gate
Current memory content
Final memory at current time step

Regional CNN

Regional-CNN
Selective Search Algorithm
Bounding Box Regression
SVM in RCNN
Pre-trained Model
Model Accuracy
Model Inference Time
Model Size Comparison
Transfer Learning
Object Detection – Evaluation
mAP
IoU
RCNN – Speed Bottleneck
Fast R-CNN
RoI Pooling
Fast R-CNN – Speed Bottleneck
Faster R-CNN
Feature Pyramid Network (FPN)
Regional Proposal Network (RPN)
Mask R-CNN

Admission details

If a student wishes to be a part of the Deep Learning Course with TensorFlow Certification course by Edureka, these are the steps they should follow in order to do so:

Step 1: Visit the homepage of the course on Edureka by clicking on the link given below:

https://www.edureka.co/ai-deep-learning-with-tensorflow.

Step 2: Scroll down until you find the option titled “Enroll Now”. Click on this option.

Step 3: You will now be forwarded to the payments page where you can pay the fee for the course. In this page, you will also find the option to select your batch. If your preferred batch is not available, you will be given 100% refund. You can also apply any coupon codes if you have any.

Step 4: On the next page, you can view the payment details and you will be officially enrolled in the course.

How it helps

Deep learning is an emerging field in the world of Artificial Intelligence. Its ability to replicate the human mind to an extent is attracting the attention of businesses all around the world. Deep learning is the essence of many innovative projects such as self-driving cars, voice control in phones and mobile devices, music devices with hands free features and so on. Looking at the examples of the projects is enough to understand the popularity of Deep Learning.

This course is highly beneficial for professionals already in the IT industry as the addition of this certificate to their resumes will increase their profiles in a huge way and even bring about a possible increase in their salaries. The student also understands the key differences between machine learning and deep learning and knows when to apply which processes.

Deep learning is also useful in the sectors of Big Data. It helps minimize the number of components necessary during processing, delivers near-perfect results and eliminates unnecessary spending of monMost companies turning to deep learning to improve their productivity and decrease expenditure. It is a field with a very bright future ahead of it and the students who learn it will surely be highly benefited and improve or develop their roles in the industry of IT.

FAQs

Why should I go pursue this course?

This course is perfect for you if you are enthusiastic about Python. This course teaches you one of the most innovative ways Python can be used. Also, if you are interested in learning about Data Science, this course is tailor-made for Data Science professionals as the concepts used in this course are very familiar to you.

Do I need any basic qualifications if I pursue this course?

The course does not require any basic educational or professional qualifications but you do need to have basic knowledge about Python and machine learning.

What happens if I miss a class?

You don’t need to worry about missing classes since the video lectures are always available and you can also join other batches if you want live classes.

Can I ask for help after classes are over?

Yes, there’s a 24*7 support helpline available which you can avail at all times.

Will the course be available after I finish the course?

You will have lifetime access to the course as it is only a one-time investment you have to pay. If you want, you can also rejoin the course after completion of your course for no extra cost.

Can I apply what I learn practically?

You are always free to apply the concepts you learn practically. You can use Google Colab notebook to execute the programs and get a more hands-on experience.

Is the certificate recognized by the IT industry?

Many students who have completed courses from Edureka have updated their profile to reflect changes in their job location and placement in better jobs. This certificate is recognized by the IT industry in most companies.

Is there any kind of aid available to cover the cost of the course?

If the student has any trouble with paying for the course, they have the option to apply for EMI which is at 0% interest rate and you will have to pay Rs. 1,799/month.

Is this course suitable for a coder who is not yet a professional in the IT industry?

Since there are no educational or work experience prerequisites, even coders who are not professionals are welcome to pursue the course. But the course is highly recommended for professionals who wish to be data scientists and want to learn more about concepts of deep learning.

Can I change my batch if I don’t feel comfortable with my preferred batch?

Of course, the student is always welcome to change their batch according to their needs. Just get in touch with people in charge of the course or the support team and they will surely help you out with your needs.

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Deep Learning Course with Tensorflow Certification Course

Online

5 Weeks

₹ 17995 19995