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LeNet - CNN in python Text Recognition
In this blog we will be discussing Text Recognition and going to implement a simple but revolutionary Convolutional Neural Network : LeNet.The LeNet architecture is simple and doesnot take very much computational power.It will run on the CPU. We are going to implement it using Python and Keras.Keras is an...
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Object Tracking
We are going to learn a simple object tracking technique using OpenCV python package. We know for better representation of color we use HSV(Hue-Saturation-Value) color format. Hue range is [0,179];Saturation range is [0,255] ; Value range is [0,255]. You can find the list of whole color conversion flags using the...
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Small Text
This is an example of a blog post with small amount of text.
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Code Syntax
To insert highlight code inside of a post, it’s enough to use some specific tags, has directly described into the Jekyll documentation. In this way the code will be included into a .highlight CSS class and will be highlight according to the syntax.scss file. This is the standard style adopted...
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Decision Trees
Decision Trees are widely used models for classification as well as regression tasks. In this approach in order to distinguish between certain class a series of if/else questions are asked and based on the answers the items are classified. ...
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k-armed Bandit Problem and related algorithms
In this blog we will be discussing about the k-armed bandit problem i.e. slot machines.We will be getting some rewards by pulling the lever of the machine which has (in this scenario) stationary probability distribution.Putting more simply,the reward will not change over time for the given slot machine.The reward is...
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Using K-Nearest Neighbors
In this blog we are going to investigate about a Supervised Machine Learning algorithm:K-Nearest Neighbors.This algorithm is basically based on the fact that similar things happen near their own kind.We will be measuring closeness of the given data-point with the other available classes.The “K” (in k-nearest neighbor) denotes the number...
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Getting a feel in ML
In this blog, we are going to solve a small classification problem of Supervised Learning.We are going to predict if any flower has particular feature,then in which category is it to be classified. So,we are classifying the iris species. we will be importing the dataset from sklearn as from sklearn.datasets...