Learn the fundamental concepts and major functions of TensorFlow by enrolling in the Deep Learning with TensorFlow online course by edX.
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.
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
Yes
IBM
₹8,220
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.
Near the end of the Deep Learning with TensorFlow online course, you will gain insights into the following:
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.
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 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.
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
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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