What you’ll be taught
Be taught the basics of the Deep Studying concept
Learn to use Deep Studying in Python
Learn to use totally different frameworks in Python to unravel real-world issues utilizing deep studying and synthetic intelligence
Make predictions utilizing linear regression, polynomial regression, and multivariate regression
Construct synthetic neural networks with Tensorflow and Keras
Description
Python is famed as probably the greatest programming languages for its flexibility. It really works in nearly all fields, from net growth to creating monetary functions. Nonetheless, it’s no secret that Python’s greatest software is in deep studying and synthetic intelligence duties.
Whereas Python makes deep studying straightforward, it should nonetheless be fairly irritating for somebody with no data of how machine studying works within the first place.
If you understand the fundamentals of Python and you’ve got a drive for deep studying, this course is designed for you. This course will make it easier to learn to create applications that take information enter and automate function extraction, simplifying real-world duties for people.
There are a whole lot of machine studying sources accessible on the web. Nonetheless, you’re susceptible to studying pointless classes in case you don’t filter what you be taught. Whereas creating this course, we’ve helped with filtering to isolate the important fundamentals you’ll want in your deep studying journey.
It’s a fundamentals course that’s nice for each inexperienced persons and consultants alike. If you happen to’re looking out for a course that begins from the fundamentals and works as much as the superior matters, that is the very best course for you.
It solely teaches what it’s good to get began in deep studying with no fluff. Whereas this helps to maintain the course fairly concise, it’s about the whole lot it’s good to get began with the subject.
Content material
Introduction to Deep Studying
Synthetic Neural Networks (ANN)
Propagation of knowledge in ANNs
Neural Community Architectures
Activation Features
Gradient Descent Algorithm
Abstract Overview of Neural Networks
Implementation of ANN in Python
Convolutional Neural Networks (CNN)
Implementation of CNN in Python
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