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How To Train Your Neural Network.

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Courtesy of : DreamWorks Animation Hey guys!!! Hope you are doing well. We are back with our new article in Mind Tech. I think already you have a clue about the content of this article. Today we are going to tell you the process behind ‘training of a neural network’. Once you go through this article you will be able to know what happens in training of your neural network. Let’s start. Learning process of NN…... During the training time of neural network and after the training period, input data is fed to the input neurons of the input layer. Subsequently input data is passed to hidden neurons situated in between input neurons and output neurons. At that stage activation functions are applied and some neurons are activated by the activation function. These activated neurons function in the process of propagating the data throughout the network via connected channels. This is known to be ‘Forward propagation’ of neural net. If you need to know more about NNs, refer our a
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Neural Network Types.

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Types of Neural Networks. Hi guys!!! Welcome all. In this article we are going to talk about 3 major types of Neural Networks found in Deep Learning. But “What is Deep Learning?”, “What are Neural Networks?” …...Once you go through this article, you will get answers for these questions. Let’s begin. Artificial Intelligence (AI) which is a most popular topic nowadays. AI is a computer science field which enables machines to imitate behavior of humans. Machine Learning (ML) is a subset of AI. ML consists of algorithms trained with data. Therefore, AI can be achieved through these ML algorithms. ML is all time training based. As an example we can build a robot who can differentiate fruits in a fruit basket. With respect to ML we have to tell the machine the features that can be used in this process of differentiating fruits. Now you may wonder about another way to do the same task without human intervention. At that stage Deep Learning (DL) comes to play. DL is again a s
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Machine Learning In Brief.

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Image by Manfred Steger from Pixabay Machine Learning Problems Classification. Hello everyone!!! Welcome to this new article. Hope you are safe and doing well. Here we are going to discuss about brief introduction about machine learning with respect to machine learning problems classification.  So let's begin the explanation. M achine Learning is subset of AI which can be termed as a scienc e of getting computers to learn without being explicitly programmed. Facebook recognizes your friends in pictures, computer distinguishes spam mails from non-spam mails are some work  thanks to ML. Above are 2 definitions given by Tom Mitchell who is a professor at Carnegie Mellon University. As per the first definition presented by Tom Mitchell, ML algorithms enables a computer to learn through the experience just like a human faces new problems using the experience gathered in the past.   Although the first definition is simple, the second definition may b
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