Deep Learning with Tensorflow

Online Course


Deep Learning with Tensorflow

What is the course about?

Deep Learning with Tensorflow
The course Deep Learning with Tensorflow is an online class provided by IBM through edX. The skill level of the course is Intermediate. It may be possible to receive a verified certification or use the course to prepare for a degree.
Much of the world’s data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.
Course description
Traditional neural networks rely on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kind of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which consitutes the vast majority of data in the world.TensorFlow is one of the best libraries to implement deep learning. TensorFlow is a software library for numerical computation of mathematical expressional, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.In this TensorFlow course, you will learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Prerequisites & Facts

Deep Learning with Tensorflow

Course Topic

Computer Science, Data Analysis and Statistics, Engineering

University, College, Institution


Course Skill Level


Course Language


Place of class

Online, self-paced (see curriculum for more information)



Degree & Cost

Deep Learning with Tensorflow

To obtain a verified certificate from edX / IBM you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (99.00 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Deep Learning with Tensorflow
provided by edX


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Deep Learning with Tensorflow
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School: IBM
Topic: Computer Science, Data Analysis and Statistics, Engineering
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