ABOUT THIS LEARNING PATH
In this learning path, you will be able to learn the basic concepts of Deep Leaning and TensorFlow. Then, you will get hands-on experience in solving problems using Deep Learning. 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.
TELL YOUR FRIENDS
Anyone interesting in analysis of data
LEARNING PATH LEVEL:
Our learning paths are designed to build on the content learned in the first course and then build upon the concepts in courses that follow. We recommend that they are completed in the order outlined in this learning path to ensure you get the most out of your investment of time. If you like what you see here, come and discover other learning paths and browse our course catalog.
How to obtain your badge for the "deep-learning" learning path
- Step 1: Enrol in every course above.
- Step 2: Successfully pass and receive a certificate for each of the courses.
- Step 3: Return here and click the button below to request your badge.
- Step 4: Visit your email to accept your badge.
This badge earner understands the main concepts of Neural networks. The individual knows which network is used to tackle a problem, and can implement different shallow and deep networks with TensorFlow.Liquid error: internal