# Monthly Archives: January 2020

### Simple Logistic Regression (Part 4)

Overfitting and Underfitting The cause of poor performance of in machine learning can be attributed to either overfitting or under-fitting. What we want is model that fits appropriately. Overfitting happens when a model learns the detail and...

### Simple Logistic Regression (Part 3)

Understanding Layers and Nodes In this lesson we shall talk a bit more about layers and units. Let’s examine this 4-layer neural network. This neural network takes 2 inputs. Layer 1 has 5 units, Layer 2 has 5 units, Layer 3 has 3 units and Layer...

### Simple Logistic Regression (Part 2)

Understanding Computational Graphs Before we continue with our cat problem I would to use the lesson to introduce a visualization tool known as computation graphs. Lets say we have a function j of a b c equals 3 into brackets a plus bc. Lets say...

### Simple Logistic Regression (Part 1)

Common notations. In machine learning, training examples are are often represented by the letter “m”. We often break our training examples into 2 sets. Training set and test set. We training set it often denoted by “m” subscript train And the...

### Basic Derivatives

In this lesson we are going to give a short revision of calculus. This will help to be able to picture backpropagation and gradient descent more easily in future lesson. You do not need to understand calculus to work with deep learning major of...

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