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Courses>Data Science>Deep Learning : Neural Networks with Python
DevelopmentDeep Learning : Neural Networks with Python
Price:Paid
Length:4 hours
Content type:video
level:all levels
Updated:26 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Deep Learning : Neural Networks with Python
Deep Learning : Neural Networks with Python
0.0 (5.0)
4 hours
5 students
What you will learn
1Introduction to Deep Learning
2Softwares & Libraries for Neural Network
3Summary of python
4Artificial Neural Network (ANN)
5ANN Implementation
6Convolution Neural Network (CNN)
7Recurrent Neural Network (RNN)
8Handson Projects
Target audiences
1Anyone who is interested to Learn Deep Learning
Requirements
1Students in machine learning, deep learning, artificial intelligence, and data science
2Professionals in machine learning, deep learning, artificial intelligence, and data science
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Neural Networks are computing systems vaguely inspirited by the biological neural networks that constitute animal brains. An ANN is based on collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.

Artificial neural networks are built like the human brain, with neuron nodes interconnected like a web. The human brain has hundreds of billions of cells called neurons. Each neuron is made up of a cell body that is responsible for processing information by carrying information towards (inputs) and away (outputs) from the brain.

An ANN has hundreds or thousands of artificial neurons called processing units, which are interconnected by nodes. These processing units are made up of input and output units. The input units receive various forms and structures of information based on an internal weighting system, and the neural network attempts to learn about the information presented to produce one output report. Just like humans need rules and guidelines to come up with a result or output, ANNs also use a set of learning rules called backpropagation, an abbreviation for backward propagation of error, to perfect their output results.

In this, you will learn how to solve numerically based datasets, images, text, time-series data set with the artificial neural network, convolution neural network, and recurrent neural network with Python. Learn Handson by doing 3 projects in this course. All the code files and datasets included in this course. 

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Careertail
Courses>Data Science>Deep Learning : Neural Networks with Python
DevelopmentDeep Learning : Neural Networks with Python
Price:Paid
Length:4 hours
Content type:video
level:all levels
Updated:26 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Deep Learning : Neural Networks with Python
Deep Learning : Neural Networks with Python
0.0 (5.0)
4 hours
5 students
What you will learn
1Introduction to Deep Learning
2Softwares & Libraries for Neural Network
3Summary of python
4Artificial Neural Network (ANN)
5ANN Implementation
6Convolution Neural Network (CNN)
7Recurrent Neural Network (RNN)
8Handson Projects
Target audiences
1Anyone who is interested to Learn Deep Learning
Requirements
1Students in machine learning, deep learning, artificial intelligence, and data science
2Professionals in machine learning, deep learning, artificial intelligence, and data science
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Neural Networks are computing systems vaguely inspirited by the biological neural networks that constitute animal brains. An ANN is based on collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing.

Artificial neural networks are built like the human brain, with neuron nodes interconnected like a web. The human brain has hundreds of billions of cells called neurons. Each neuron is made up of a cell body that is responsible for processing information by carrying information towards (inputs) and away (outputs) from the brain.

An ANN has hundreds or thousands of artificial neurons called processing units, which are interconnected by nodes. These processing units are made up of input and output units. The input units receive various forms and structures of information based on an internal weighting system, and the neural network attempts to learn about the information presented to produce one output report. Just like humans need rules and guidelines to come up with a result or output, ANNs also use a set of learning rules called backpropagation, an abbreviation for backward propagation of error, to perfect their output results.

In this, you will learn how to solve numerically based datasets, images, text, time-series data set with the artificial neural network, convolution neural network, and recurrent neural network with Python. Learn Handson by doing 3 projects in this course. All the code files and datasets included in this course. 

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot