Practical Deep Learning & Artificial Neural Nets with Python

Apply Deep Learning concepts with Python to solve challenging tasks: Detect smiles in your camera app using Neural Nets

Created by: Packt Publishing
Tech Knowledge in Motion

What Will I Learn?

• Build a solid understanding of common problems can you solve with Deep Learning
• Build Deep Neural Networks in the healthcare domain to address applications of deep learning in it
• Develop a clear understanding of how Deep Learning tools work and what you need to know to use them in practice
• Practical ways in which Deep Learning techniques can be applied to develop solutions for image recognition
• Explore face recognition with Deep Learning
• Work with dialog generation in Deep Learning
• Use different Deep Learning algorithms to solve specific types of problem and learn their strengths and weaknesses,
• Save time by learning practical Deep Learning methods that you can immediately apply to real-world problems.

Requirements

• To pick up this course, you need to have Python programming skills. Developers, analysts, and data scientists who have a basic Machine Learning knowledge and want to now explore the possibilities of Deep Learning will feel perfectly comfortable in understanding the topics presented in this Course.

Target audience

• Data Science Professionals, Machine Learning enthusiasts, Developers, Analysts, who would like to gain practical hands-on experience to their Deep Learning problems and build Deep-Learning applications with real-world datasets in Python, will find this course useful.