Deep L-layer Neural Network In this post we will make a Neural Network overview. We will see what is the simplest representation of a Neural Network and how deep representation of a Neural Network looks like. You may have heard that the perceptron is the simplest version of a Neural Network. The perceptron is a one layer Neural Network with the \(step\) activation function . In the previous posts we have defined a Logistic Regression…
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A quick overview In previous posts we had talked about Logistic Regression and we saw how this model corresponds to the following computation graph: We have a feature vector \(x \) , parameters \(w \) and \(b \) as the inputs to the computation graph. That allows us to compute \(z \) which is then used to compute \(a \) and we use \(a \) interchangeably with the output \(\hat{y} \). Finally, we can compute a…
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Introduction to Deep Learning as taught by ANDREW NG, DEEP LEARNING course LECTURE NOTES Deep learning is a sub-field of machine learning that is rapidly rising and is driving a lot of developments that has already transformed traditional internet businesses like web search and advertising. In the past couple of years, deep learning has gotten good from reading X-ray images, to delivering personalized education, precision agriculture, and even to self-driving cars. Over the next decades,…
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