- HelloWorld with TensorFlow
- Linear Regression
- Nonlinear Regression
- Logistic Regression
Intermediate
Online
5 Weeks
Free
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
2-4 Hours Per Week
|
Course overview
A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.
During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.
With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents for a limited duration and you can also get the option to avail of a professional certificate on completion after paying the prescribed fee.
The highlights
- Data Analysis and Statistics course
- Online programme
- Intermediate-level course
- An offering of IBM
- 5-weeks programme
- Self-paced learning
- Video lectures in English
- Requires 2-4 hours of study per week
- E-certificate
Program offerings
- Paid certification
- Extensive curriculum
- 5-weeks training
- Industry expert instructors
- Offered by ibm
- Self-directed learning
- Free course access
- Video lectures
- Digital learning platform
- Subtitles in english
Course and certificate fees
Type of course
- You can enroll in the Deep Learning with TensorFlow course for free.
- You have to pay a fee of Rs. 8,220 to get a certificate.
Deep Learning with TensorFlow fee structure
Course option | Fee in INR |
Deep Learning with TensorFlow (course content audit) | Free |
Deep Learning with TensorFlow (content + certification) | Rs. 8,220 |
certificate availability
certificate providing authority
certificate fees
Eligibility criteria
Before you enroll in Deep Learning with TensorFlow training, you must know Deep Learning and Machine Learning concepts. Also, you should be familiar with Jupyter and Python notebooks.
What you will learn
Near the end of the Deep Learning with TensorFlow online course, you will gain insights into the following:
- Usage of TensorFlow in minimization of error functions, regression, classification, and curve fitting
- Applying TensorFlow for backpropagation
- Basic TensorFlow concepts including execution pipelines, operations, and main functions
- Different kinds of Deep Architecture, including Autoencoders, Recurrent Networks, and Convolutional Networks
Admission details
Step 1 – Open the Deep Learning with TensorFlow course page.
Step 2 – Near this webpage’s top, you can choose the session for enrollment. Then hit the ‘Enroll now’ button below to reach the registration page.
Step 3 – You can sign up using your Facebook, Microsoft, Apple, or Google account. Alternatively, you can fill in your basic details and tap the ‘Create account’ button to register for an account.
Step 4 – A new page with a ‘Congratulations’ message will open. You should now be enrolled in the Deep Learning with TensorFlow programme by edX. You have the option to audit the course for free or buy the paid, verified track.
Filling the form
You don’t have to fill and submit an application form to get admission to the Deep Learning with TensorFlow online programme. Just visit the edX website and sign up to join the course. You need to enter your username, full name, country, new password and email ID to create a new account. You can even link your existing social accounts to sign in.
The syllabus
Module 1
Introduction to TensorFlow
Module 2
Convolutional Neural Networks (CNN)
- CNN Application
- Understanding CNNs
Module 3
Recurrent Neural Networks (RNN)
- Intro to RNN Model
- Long Short-Term Memory (LSTM)
Module 4
Restricted Boltzmann Machines (RBMs)
- Restricted Boltzmann Machine
- Collaborative Filtering with RBM
Module 5
Autoencoders
- Introduction to Autoencodersand Application
- Autoencoders
How it helps
The Deep Learning with TensorFlow course by edX follows a flexible learning approach. It is entirely self-paced so that you can learn the course modules at your own convenience. The lessons are delivered exclusively by IBM experts.
Also, you can opt for Deep Learning with TensorFlow certification. This official certificate will be signed by instructors and have IBM’s logo. This valid credential will be proof of your accomplishment and help you land better jobs.
Instructors
Mr Saeed Aghabozorgi
Senior Data Scientist
IBM
Ph.D
Mr Romeo Kienzler
Data Scientist
IBM
Other Masters
Ms Samaya Madhavan
Software Engineer
IBM
B.E /B.Tech, Other Masters
FAQs
The Deep Learning with TensorFlow course is offered by IBM.
The course will be taught by expert instructors of IBM. Samaya Madhavan, Advisory Software Engineer; Romeo Kienzler, Chief Data Scientist and Saeed Aghabozorgi, Senior Data Scientist, will be your instructors.
You should have familiarity with Python and Jupyter notebooks. Moreover, you must have a fair understanding of Deep Learning and Machine Learning concepts.
You can access the Deep Learning with TensorFlow programme for free.
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