Deep Learning Archives - SuperDataScience - Big Data | Analytics Careers | Mentors | Success

Category: Deep Learning

Deep Learning A-Z™ Module 1: Artificial Neural Networks Stochastic Gradient Descent [For the Full Article Click Here] Deep Learning A-Z™: Artificial Neural Networks (ANN) – Stochastic Gradient Descent from Kirill Eremenko

Deep Learning A-Z™ Module 1: Artificial Neural Networks Gradient Descent [For the Full Article Click Here] Deep Learning A-Z™: Artificial Neural Networks (ANN) – Gradient Descent from Kirill Eremenko

Deep Learning A-Z™ Module 1: Artificial Neural Networks How do Neural Networks Learn? [For the Full Article Click Here] Deep Learning A-Z™: Artificial Neural Networks (ANN) – How do Neural Networks Learn from Kirill Eremenko

Deep Learning A-Z™ Module 1: Artificial Neural Networks How do Neural Networks Work? [For the Full Article Click Here] Deep Learning A-Z™: Artificial Neural Networks (ANN) – How do Neural Networks Work from Kirill Eremenko

Deep Learning A-Z™ Module 1: Artificial Neural Networks The Activation Function [For the Full Article Click Here] Deep Learning A-Z™: Artificial Neural Networks (ANN) – The Activation Function from Kirill Eremenko

Deep Learning A-Z™ Module 1: Artificial Neural Networks The Neuron [For the Full Article Click Here] Deep Learning A-Z™: Artificial Neural Networks (ANN) – The Neuron from Kirill Eremenko

How do Neural Networks Work? [For the ppt of this lecture click here] Having already looked at the neuron and the activation function, in this tutorial the deep learning begins on how Neural Networks work. If you have forgotten the structural elements or functionality of Neural Networks, you can always scroll back through the previous […]

How do Neural Networks Learn? [For the ppt of this lecture click here] Now we have seen Neural Networks in action it is time to get into deep learning on how they learn. There are two fundamentally different approaches to getting the desired result from your programme. Hardcoding This is where you tell the programme […]

Gradient Descent [For the ppt of this lecture click here] This is a continuation of the last deep learning section on how Neural Networks learn. If you recall, we summed up the learning process for Neural Networks by focusing on one particular area. Reducing the Cost Function The cost function is the difference between the […]

The Activation Function [For the ppt of this lecture click here] In this tutorial we are going to examine an important mechanism within the Neural Network: The activation function. The activation function is something of a mysterious ingredient added to the input ingredients already bubbling in the neuron’s pot. In the last part of the […]

What are you waiting for?

EMPOWER YOUR CAREER WITH SUPERDATASCIENCE

CLAIM YOUR TRIAL MEMBERSHIP NOW
as seen on: