Deep Learning for Python Developers [Video]
Deep learning is a new superpower which will let you build AI systems that just weren't possible a few years ago. It's time to utilize intelligent automation to help your business grow, keep organized, and stay on top of the competition.
This course is for Python developers who haven't worked with machine learning or data science, and want to build intelligent systems right away—without taking a math degree! You will learn about recurrent neural networks, Backprop, SGD, and more. You will work on code examples that are used in a developer's life on a daily basis; you'll not only master the theory, you'll also see how to applied it in the industry as a whole. You will practice all these ideas in MxNet, TensorFlow, Keras, and Gluon. Last but not the least, build Convolutional Neural Networks and apply them to image data.
Deep Learning is currently enabling numerous exciting applications in speech recognition, music synthesis, machine translation, natural language understanding, and many others. AI is transforming multiple industries. After finishing this course, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.
All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Deep-Learning-for-Python-DevelopersStyle and Approach
This video course adopts a practical approach and covers the basics of Deep Learning: perceptrons, activation functions, layering, backpropagation, and more. Each essential concept is immediately followed by hands-on labs which will implement the concept in code and show the practical aspects of Deep Learning theory. In the later sections, when covering deployment and best practices, a mini-project is implemented as a running example and brings together all the material learned before and applies it in a practical manner.
|Course Length||2 hours 11 minutes|
|Date Of Publication||26 Dec 2018|