Download free Neural Network in PDF file. Neural networks are mathematical representations that retain information using learning methods based on the brain. The term “artificial neural network” refers to a group of neural networks that are employed in machines. Machine learning is often performed using neural networks, which are a common framework. In this course you’ll learn neural network with python. Python is very popular high level language which is easy to use and easy to understand, its syntax is easy than other languages. In this Practical guide you’ll learn neural network overview and its proper introduction.
In this notes you’ll learn how to teach a neural network arithmetic and take a crash course in linear associative memory and adaptive mapping. This course is very interesting and helpful for developers, researchers, engineers and students. This practical guide teaches you the methodology and technology of neural network. You can download this course from the given link without restrictions.
You Can Learn These Topics:
Learn Introduction of Neural Network
Learn What Are Neural Networks?
Learn about Real and Artificial Neurons
Introducing Time
Non Binary Signal Communication
Learn about TLUs, Vectors and Separability
Vectors
Training Networks
Learn about Perceptron
Adjusting the Weight Vectors
Learn Some Practical Matters
Learn about Delta Rules
Training Rules for Multilayers Nets
Lean Local Versus Global Minima
Learn about more Complex Nets
The Nature of Associative Memories
Storage Capacity
Learn Self Organization
Competitive Dynamics
Learn Principal Component Analysis
Learn Digital Neural Networks
Sigma Pi Units
Classifying Neural Net Structure
Learn Network and Statistical Analysis
