Deep Learning Fundamentals
About the course
This free course presents a holistic approach to Deep Learning and answers fundamental questions about what Deep Learning is and why it matters.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
AUDIENCE:
Anyone interesting in analysis of data
LEARNING PATH LEVEL:
Advanced
3 BADGES
3 COURSES
Deep Learning Courses
Complete The Deep Learning Learning Path
BADGE: Deep Learning
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.