Machine Learning, Deep Learning & Neural Networks in Matlab Free Download


Free Download Machine Learning, Deep Learning & Neural Networks in Matlab, with this course you will have the option to Learn deep learning from A to Z and create a neural network in MATLAB to recognize handwritten numbers (MNIST database). It contains 22 recordings. Remember that numerous understudies are tried out this course Machine Learning, Deep Learning & Neural Networks in Matlab, so don't hold on to download it presently, it's totally free. You can start learning Machine Learning, Deep Learning & Neural Networks in Matlab by clicking the download link below.

Before you can start learning from this course explained in English (US) you need to have High school mathematics level, Very basic MATLAB programming knowledge.

Machine Learning, Deep Learning & Neural Networks in Matlab is targeting for people that have interset in Anyone interested in Artificial Intelligence, Anyone interested in Machine Learning, Anyone interested in Deep Learning, Annyone interested in Neural Networks, Anyone who wants to learn MATLAB while applying it to Deep Learning and Neural Networks, Anyone interested in creating Artificial Intelligence able to recognize handwritten numbers, Anyone interested in using and understanding the MNIST database to train in Neural Networks, Anyone interested to expand his knowledge in Data Science within his current career or as a new career, Anyone interested in entering the Data Science industry as a developer or an entrepreneur, Anyone who want to create value in their projects or businesses bu deeply understanding and leveraging data science and deep learning.

Finally you will learn how to How neural networks emulate the brain, How to artificially represent neural networks, The biological fundamentals behind neural networks and deep learning, How to represent and manipulate neural networks with matrices, The basics behind training neural networks and the cost function, How to use gradient descent and learning intuition, The maths and calculus behind forward and back propagation, How to represent forward and back propagation in matrix form, How to write forward and back propagation algorithms, Understand and master the mathematics and algorithms behind deep learning and neural networks, The structure of the MNIST database and how to use and extract data from it, How to program and use the Sigmoid and Leaky Relu activation functions in MATLAB, How to create a Neural Network in Matlab, How to create Neural Network training and testing algorithms in Matlab, How to use the MNIST database to make a neural network able to read handwritten numbers in images.

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