Artificial Neural Networks – The Neuron

The Neuron (For the PPT of this lecture Click Here) In this deep learning tutorial we are going to examine the Neuron in Neural Networking. Briefly, we will cover: What it is What it does Where it fits in the Neural Network Why it is important The neuron that forms the basis of all Neural […]

Artificial Neural Networks – Backpropagation

Backpropagation (For the PPT of this lecture Click Here) Unfortunately friends, this is our final deep learning tutorial. But fear not, before the tears begin to flow too freely, you can stem the tide with some lovely, soft Backpropagation. Adjusting Backpropagation is an advanced algorithm, driven by sophisticated mathematics, which allows us to adjust all […]

The Ultimate Guide to Artificial Neural Networks (ANN)

Welcome… To the first step of your Deep Learning adventure. First up, Artificial Neural Networks. Sit back, relax, buckle up and get started with Artificial Neural Networks! (For the full PPT of Artificial Neural Networks (ANN) Click Here) Artificial Neural Networks – Plan of Attack (For the PPT of this lecture Click Here) To help […]

The Ultimate Guide to Convolutional Neural Networks (CNN)

So you want to learn Convolutional Neural Networks? Well you’ve come to the right place…. The Ultimate Guide to Convolutional Neural Networks is here! If you go past the “convoluted” vocabulary (pun obviously intended), you will find that the plan of attack is set up in a way that will really help you dissect and […]

Recurrent Neural Networks (RNN) – Plan of Attack

Plan of attack (For the PPT of this lecture Click Here) Are you excited about the idea to uncover the essence of Recurrent Neural Networks? Hope you are… because we are now venturing into a complex, very forward-looking and cutting-age areas of deep learning! But what’s really important to keep in mind – this going […]

Recurrent Neural Networks (RNN) – The Idea Behind Recurrent Neural Networks

The Idea Behind Recurrent Neural Networks (For the PPT of this lecture click here) Recurrent Neural Networks represent one of the most advanced algorithms that exist in the world of supervised deep learning. And you are going to grasp it right away. Let’s get started! Here is our low breakdown of supervised vs. unsupervised deep […]

Recurrent Neural Networks (RNN) – LSTM Variation

LSTM Variation (For the PPT of this lecture Click Here) Have you checked all our articles on Recurrent Neural Networks (RNNs)? Then you should be already pretty much comfortable with the concept of Long Short-Term Memory networks (LSTMs). Let’s wind up our journey with a very short article on LSTM variations. You may encounter them […]

Recurrent Neural Networks (RNN) – LSTM Practical Intuition

LSTM Practical Intuition (For the PPT of this lecture Click Here) Now we are going to dive inside some practical applications of Long Short-Term Memory networks (LSTMs). How do LSTMs work under the hood? How do they think? And how do they come up with the final output?  That’s going to be quite an interesting […]

Recurrent Neural Networks (RNN) – Long Short Term Memory ( LSTM )

Long Short Term Memory – (LSTM) (For the PPT of this lecture Click Here) Long short-term memory (LSTM) network is the most popular solution to the vanishing gradient problem. Are you ready to learn how we can elegantly remove the major roadblock to the use of Recurrent Neural Networks (RNNs)? Here is our plan of attack […]

Recurrent Neural Networks (RNN) – The Vanishing Gradient Problem

The Vanishing Gradient Problem (For the PPT of this lecture Click Here) Today we’re going to jump into a huge problem that exists with RNNs.But fear not! First of all, it will be clearly explained without digging too deep into the mathematical terms. And what’s even more important – we will discuss the solution to […]