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Hi, my name is Nastaran, and welcome to Artificial Neural Network and Machine Learning using Matlab.
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This course is uniquely designed to be suitable for both experienced developers seeking to make that
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jump to machine learning or complete beginners who don't understand machine learning and artificial neural
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network from the ground up.
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In this course, we introduce a comprehensive training of multilayer perceptual neural network, or
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MLP in Matlab.
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In addition to review the theories related to MLP neural networks to practical implementation of these
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types of networks in matlab environment is also fully covered.
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Matlab offers a specialized toolbox and function for working with machine learning and artificial neural
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networks, which makes it a lot easier and faster for you to develop neural network.
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You can apply machine learning techniques to solve problems such as classification, pattern recognition,
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function, approximation and more.
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Let's go ahead and take a quick look at just a few things that you will be learning in this course 
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here in session.
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One, we have a course of our view, which is this video that you're watching right now in session two
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we will start with a history of artificial intelligence and important events.
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And then we will define machine learning and its concepts. In session three,
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We are having a fundamental of artificial neural network where you understand a neural network theories
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and mathematical model for a multilayer perception.
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You will also learn about optimization, mean square error.
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and more. If you already have a background of an artificial neural network, you can already skip these three
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sessions.
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and start from session four where we get our hands on Matlab software.
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Here we explore Matlab toolbox and train a neural network without any coding.
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We will expand our knowledge in session four with creating both simple and advanced scripts of
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Matlab. In session six
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You can develop a neural network with customized advanced script based on your data to achieve an
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accurate result.
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Finally, we will wrap up our course with practical example of developing a neural network with multiple
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targets and inputs.
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We will also learn how to create different functions in different scripts.
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This course includes over 50 comprehensive video lectures with five Matlab source codes, which has been
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discussed in details.
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You'll also get access to a community forum where many students and I are happy to answer any questions
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you post.
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This course also comes with a certificate of completion, which you can post on your LinkedIn profile,
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become a neural network developer and machine learning a specialist by enrolling today.