Data visualization is an important aspect of any data analysis. Representation of information in the form of charts, diagram or picture provides valuable insight about the data including outliers, hot spots and missing data. Especially with large dataset where there are simply too many data points to examine each one,...
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Tensorflow Learning - Part 4
Recurrent Neural Network
Long Short-Term Memory It is an abstraction of how computer memory works. It is “bundled” with whatever processing unit is implemented in the Recurrent Network, although outside of its flow, and is responsible for keeping, reading, and outputting information for the model. The way it works is simple: you have...
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TensorFlow Learning - Part 3
Restricted Boltzmann Machine
Restricted Boltzmann Machine (RBM): are shallow neural nets that learn to reconstruct data by themselves in an unsupervised fashion.
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TensorFlow Learning - Part 2
MultiLayer Perceptron
In this tutorial we will be implementing a 2-hidden layers fully connected neural network (multilayer perceptron)
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TensorFlow Learning - Part 1
Simple Linear Model
Introduction
This tutorial demonstrates the basic workflow of a simple linear model using TensorFlow for the so-called MNIST data-set with images of hand-written digits. We define and optimize a mathematical model in TensorFlow, while plotting & discussing the results.
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