Deep Learning is transforming multiple industries. This five-course specialization will help you understand Deep Learning fundamentals, apply them, and build a career in AI.
Neural Networks and Deep Learning
Improving Deep Neural Networks
Structuring Machine Learning Projects
Convolutional Neural Networks
“Within a few minutes and a couple slides, I had the feeling that I could learn any concept. I felt like a superhero after this course. I didn’t know much about deep learning before, but I felt like I gained a strong foothold afterward.”
“The whole specialization was like a one-stop-shop for me to decode neural networks and understand the math and logic behind every variation of it. I can say neural networks are less of a black box for a lot of us after taking the course.”
“During my Amazon interview, I was able to describe, in detail, how a prediction model works, how to select the data, how to train the model, and the use cases in which this model could add value to the customer.”
Featured Programming Assignments
You will learn how to use YOLOv2, one of the most effective object detection algorithms, to detect cars and other objects.
Using a neural style transfer algorithm, you will combine the content of one image with the style of another to create a new piece of art.
You will build a facial verification and recognition system to automatically tag images.
About the Deep Learning Specialization
The Deep Learning Specialization was created and is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera.
In addition to the lectures and programming assignments, you will also watch exclusive interviews with many Deep Learning leaders. They will share with you their personal stories and give you career advice.
How long is the course?
The course typically takes sixteen weeks of study, 3-6 hours a week, to complete.
How much does the course cost?
You can take the entire specialization for $49/month on Coursera. Alternatively, you can enroll in individual courses.