6xfavmybthurykiflukl

Practical Deep Learning with Keras and Python

Learn to apply machine learning to your problems. Follow a complete pipeline including pre-processing and training.

This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems.

In this course, we will start from the very scratch. This is a very applied course, so we will immediately start coding even without installation! You will see a brief bit of absolutely essential theoryand then we will get into the environment setup and explain almost all concepts through code. You will be using Keras -- one of the easiest and most powerful machine learning tools out there.

You will start with a basic model of how machines learn and then move on to higher models such as:

  • Convolutional Neural Networks
  • Residual Connections
  • Inception Module

All with only a few lines of code. All the examples used in the course comes with starter code which will get you started and remove the grunt effort. The course also includes finished codes for the examples run in the videos so that you can see the end product should you ever get stuck.

There is also a real-time chat system in place for students who enroll in this course. With a free signup, you get access to real-time chat with myself and fellow students who are working to complete this course (or have completed the course before you). We plan on creating this network of like-minded machine learning experts who can help each other out and collaborate on exciting ideas together.

What will I learn?

  • Basics of machine learning with minimal math
  • A specialized but optional mathematics heavy talk that explains all the inner working of machine learning and deep learning
  • Applying machine learning principles to solve a real-world case study that includes pre-processing and getting your data into the proper shape. (This case study comes from a real research work I have carried out recently)
  • Understand the often problematic shape issue that makes machine learning difficult to apply in real life
  • Learn the details of ConvNets and graph-based machine learning models such as Residual Connections and Google's Inception Module
  • Use Keras's functional API to create powerful models that will help you move way beyond the contents covered in this course
  • Learn how to use Google's GPUs to speed up your experiments for free
  • Tips on avoiding mistakes made by new-comers to the field and the best practices to get you to your goal with minimal effort


Your Instructor


UpDegree
UpDegree

Hi! We are UpDegree, providing high quality interactive course.

We are the team of 100+ instructor over the globe. Adel (Oxford), Anand (Standford), Akash (IITB), Rajib (IITK), Partha (IITM) are few of them.

Updegree courses are different, In each and every course you not only get the videos lectures but you also get quiz,code,assignment etc to test your practical understanding!



Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get Started Now!