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‫Welcome to the course on convolutional neural networks where you will learn both the theoretical concepts

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‫behind a CNN model as well as the implementation of deep learning models for image recognition.

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‫My name is Abhishek and along with my co-instructor Pukhraj I will be leading you through this course

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‫as instructors our courses have over two hundred fifty thousand enrolments worldwide.

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‫We both hold engineering and MBA degrees and have experience of data analytics consulting industry. While

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‫doing our jobs

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‫We realized that many data analysts and beginners in the field of machine learning feel a barrier in

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‫learning CNN models and believe that the mathematics involved is overwhelming.

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‫We have designed this course for such students.

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‫We will cover everything a practicing data scientist needs to know from concepts to code without getting

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‫too mathematical about it.

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‫If you put one hour a day regularly within a week you will be able to make CNN based image recognition

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‫models and answer CNN related interview questions.

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‫We start this course by setting up python in your system and doing a crash course in Python.

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‫If you are familiar with these languages you can even skip this part.

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‫Then we understand and build a simple deep learning model with multi level perceptrons, which is used

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‫for simple classification tasks with these foundations.

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‫We then understand convolutional neural networks and see how they outperform simple neural network

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‫models and image recognition.

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‫Lastly we build a complete end to end project where we classify colored images and achieve accuracy

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‫as high as 97 percent.

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‫It has been proven that our curriculum provides solid intuition to even those professionals who do not

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‫have a strong mathematical background.

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‫The ideal student for this course is a data analyst who wants to expand on the current skills or a student

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‫who wants to have a career in data sciences and machine learning.

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‫The prerequisite for learning and implementing convolution and neural networks are two.

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‫First is having an understanding of simple ANN models and secondly knowledge of the software tool.

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‫We have tried to cover both of these in this course so that you do not have to look for separate courses

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‫for these.

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‫If you have any query or doubt throughout the course you can post them in the discussion forum.

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‫I will be personally solving all your doubts so feel free to have a look at the course description and

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‫we look forward to seeing you inside.