What is Deep Learning?
Deep learning is the subset of machine learning that has networks accomplished of learning unsupervised from knowledge that’s unstructured or untagged, conjointly referred to as deep neural learning or deep neural network. Deep learning artificial intelligence is ready to find out without human direction, drawing from data that’s each unstructured and untagged.
Download Introduction to Deep Learning free in PDF. In this PDF notes you will learn about its procedures, tools and techniques. This notes is very useful and helpful for beginners. In this notes you’ll learn fundamentals of machine learning for deep learning. Examines convolutional neural networks, and also the continual connections to a feed-forward neural network. Describes the notion of distributed representations, the idea of the auto encoder, and also the ideas behind language process with deep learning.
In this notes you will learn basic introduction of machine learning. This practical notes is very useful for researchers, developers and students. You can easily understand its concepts by real time examples. You can download this notes free from here.
You can Cover These Topics:
from Logic to Cognitive Science
The XOR Problems
Mathematical and Computational Prerequisites
Logic and Turing Machine
Machine Learning Basics
Elementary Classification Problems
Evaluating Classification Result
Feedforward Neural Networks
The Perception Rules
The Delta Rule
Modification and Extension to a Fed-Forward Neural Networks
The Idea of Regularization
Convolution Neural Network
The Third Visit to Logistic Regression
Recurrent Neural Networks
Sequence of unequal Length
Stacking Auto encoders
Neural Language Models
An Overview of Different Neural Networks Architectures
Memory Based Models