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This note is based on Coursera course by Andrew ng. (It is just study note for me. It could be copied or awkward sometimes for sentence anything, because i am not native. But, i want to learn Deep Learning on English. So, everything will be bettter and better :)) To get us familiar with these ideas, it will make a bit more sense when we walk about full-fledged neural networks. To that, let's div..

This note is based on Coursera course by Andrew ng. (It is just study note for me. It could be copied or awkward sometimes for sentence anything, because i am not native. But, i want to learn Deep Learning on English. So, everything will be bettter and better :)) The computations of a neural network are organized in terms of a forward propagation step, in which we compute the output of the neura..

This note is based on Coursera course by Andrew ng. (It is just study note for me. It could be copied or awkward sometimes for sentence anything, because i am not native. But, i want to learn Deep Learning on English. So, everything will be bettter and better :)) To train the parameters W and b of the logistic regression model, I need to define a cost function. Let's take a look at the cost func..

This note is based on Coursera course by Andrew ng. (It is just study note for me. It could be copied or awkward sometimes for sentence anything, because i am not native. But, i want to learn Deep Learning on English. So, everything will be bettter and better :)) Logistic regression is an algorithm for binary classification. So, let's start by setting up the problem. Here's an example of a binar..

This note is based on Coursera course by Andrew ng. (It is just study note for me. It could be copied or awkward sometimes for sentence anything, because i am not native. But, i want to learn Deep Learning on English. So, everything will be bettter and better :)) The term, Deep Learning, refers to training Neural Networks, Sometimes very large Neural Networks. Let's start to the Housing Price Pr..