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Understand How Neural Networks Works

#artificialintelligence

Neural networks and various other models of how the brain works have been around since people started talking about artificial intelligence. This article introduces you to the concept of neural networks and how to implement them using Python. The figure above shows the architecture of a two-layer neural network. Note the three layers in this "two-layer" neural network: the input layer is generally excluded when you count the layers of a neural network. Looking at this diagram you can see that neurons in each layer are connected to all neurons in the next layer.


Python Programming Tutorials

#artificialintelligence

Welcome everyone to an updated deep learning with Python and Tensorflow tutorial mini-series. Since doing the first deep learning with TensorFlow course a little over 2 years ago, much has changed. It's nowhere near as complicated to get started, nor do you need to know as much to be successful with deep learning. If you're interested in more of the details with how TensorFlow works, you can still check out the previous tutorials, as they go over the more raw TensorFlow. This is more of a deep learning quick start!


Multi-Layer Neural Networks with Sigmoid Function-- Deep Learning for Rookies (2)

#artificialintelligence

Welcome back to my second post of the series Deep Learning for Rookies (DLFR), by yours truly, a rookie;) Feel free to refer back to my first post here or my blog if you find it hard to follow. Or highlight on this page with notes or leave a comment below! Your feedback will be highly appreciated, too. We will go deeper into neural networks this time and the post will be slightly more technical than last time. But no worries, I will make it as easy and intuitive as possible for you to learn the basics without CS/Math background.


Multi-Layer Neural Networks with Sigmoid Function-- Deep Learning for Rookies (2)

#artificialintelligence

Welcome back to my second post of the series Deep Learning for Rookies (DLFR), by yours truly, a rookie;) Feel free to refer back to my first post here or my blog if you find it hard to follow. Or highlight on this page with notes or leave a comment below! Your feedback will be highly appreciated, too. We will go deeper into neural networks this time and the post will be slightly more technical than last time. But no worries, I will make it as easy and intuitive as possible for you to learn the basics without CS/Math background.


What is Neural Networks? Artificial Intelligence Neural Networks

#artificialintelligence

Neural, the word reminds nerves or nervous system. Neural is like a slang language word that points to the nervous systems and its explanatory details. But the machine learning has borrowed this word to develop a new technology Artificial Intelligence (AI), where the neural networks sit as the basic foundation. The nervous system is connected to the brain via the spinal cord. Human brain functions with neurons as its servants to fetch inputs from the sensory organs (nose, eye, ears, skin, tongue), interpret them and send back the perceived information as results.