All Courses
Deep Learning and Reinforcement Learning
Coursera
Course
Unknown

Deep Learning and Reinforcement Learning

IBM

This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning. Once

Unknown9 weeks46,041 enrolled

About this Course

This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning. Once

Instructors

M

Mark J Grover

IBM Data & AI Learning

J

Joseph Santarcangelo

IBM Developer Skills Network

X

Xintong Li

IBM Skills Network

K

Kopal Garg

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

التعلم العميق
التعلم المعزز
الشبكات العصبية
المشفرات التلقائية
تقليل الأبعاد
تقييم النماذج
بناء النماذج
تحليل الأداء
Generative Adversarial Networks (GANs)
Deep Learning

Start Learning Now