‫Welcome to the course on convolutional neural networks where you will learn both the theoretical concepts
‫behind a CNN model as well as the implementation of deep learning models for image recognition.
‫My name is Abhishek and along with my co-instructor Pukhraj I will be leading you through this course
‫as instructors our courses have over two hundred fifty thousand enrolments worldwide.
‫We both hold engineering and MBA degrees and have experience of data analytics consulting industry. While
‫doing our jobs
‫We realized that many data analysts and beginners in the field of machine learning feel a barrier in
‫learning CNN models and believe that the mathematics involved is overwhelming.
‫We have designed this course for such students.
‫We will cover everything a practicing data scientist needs to know from concepts to code without getting
‫too mathematical about it.
‫If you put one hour a day regularly within a week you will be able to make CNN based image recognition
‫models and answer CNN related interview questions.
‫We start this course by setting up python in your system and doing a crash course in Python.
‫If you are familiar with these languages you can even skip this part.
‫Then we understand and build a simple deep learning model with multi level perceptrons, which is used
‫for simple classification tasks with these foundations.
‫We then understand convolutional neural networks and see how they outperform simple neural network
‫models and image recognition.
‫Lastly we build a complete end to end project where we classify colored images and achieve accuracy
‫as high as 97 percent.
‫It has been proven that our curriculum provides solid intuition to even those professionals who do not
‫have a strong mathematical background.
‫The ideal student for this course is a data analyst who wants to expand on the current skills or a student
‫who wants to have a career in data sciences and machine learning.
‫The prerequisite for learning and implementing convolution and neural networks are two.
‫First is having an understanding of simple ANN models and secondly knowledge of the software tool.
‫We have tried to cover both of these in this course so that you do not have to look for separate courses
‫for these.
‫If you have any query or doubt throughout the course you can post them in the discussion forum.
‫I will be personally solving all your doubts so feel free to have a look at the course description and
‫we look forward to seeing you inside.