Practical Deep Learning with Keras and Python

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 theory and than we will get into the environment set up 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 than 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 sign up, 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.