Make Home|Add to Favorites
 
 
Solisearch.net » Tutorials » Artificial Intelligence #5 MLP Networks with Scikit & Keras (Updated)

Artificial Intelligence #5 MLP Networks with Scikit & Keras (Updated)
MP4 | Video: AVC 1280x720 | Audio: AAC 44 kHz 2ch | Duration: 2.5 Hours | Lec: 22 | 900 MB
Genre: eLearning | Language: English




"Artificial Intelligence #5 MLP Networks with Scikit & Keras (Updated)"

HI-SPEED DOWNLOAD
Free 300 GB with Full DSL-Broadband Speed!



Artificial Intelligence #5 MLP Networks with Scikit & Keras (Updated)
MP4 | Video: AVC 1280x720 | Audio: AAC 44 kHz 2ch | Duration: 2.5 Hours | Lec: 22 | 900 MB
Genre: eLearning | Language: English





Learn how to create Multilayer Perceptron Neural Network by using Scikit learn and Keras Libraries and Python

Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.

For example, in image recognition, they might learn to identify images that contain cats by analyzing example images that have been manually labeled as "cat" or "no cat" and using the results to identify cats in other images. They do this without any prior knowledge about cats, e.g., that they have fur, tails, whiskers and cat-like faces. Instead, they automatically generate identifying characteristics from the learning material that they process.

An ANN is based on a collection of connected units or nodes called artificial neurons which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it.

In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called 'edges'. Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer), to the last layer (the output layer), possibly after traversing the layers multiple times.

The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. ANNs have been used on a variety of tasks, including computer vision, speech recognition, machine translation, playing board and video games and medical diagnosis.

In this Course you learn multilayer perceptron (MLP) neural network by using Scikit learn & Keras libraries and Python.You learn how to classify datasets by MLP Classifier to find the correct classes for them. Next you go further. You will learn how to forecast time series model by using neural network in Keras environment.

In the first section you learn how to use python and sklearn MLPclassifier to forecast output of different datasets.

Logic Gates
Vehicles Datasets
Generated Datasets
In second section you can forecast output of different datasets using Keras library

Random datasets
Forecast International Airline passengers
Los Angeles temperature forecasting
Enjoy!
Screenshots

Artificial Intelligence #5 MLP Networks with Scikit & Keras (Updated)



Buy Premium Account for Download With Full Speed:

rapidgator_net:
https://rapidgator.net/file/19828634a296c52ebd7769bc2f1ca98a

uploadgig_com:
https://uploadgig.com/file/download/f3296428D6d263A7/ArtificialIntelligence5MLPNetworkswithScikitKeras.rar


Links are Interchangeable - No Password - Single Extraction

P A S S W O R D    P R O T E C T E D ! 
PASSWORD WILL BE PUBLISHED HERE TOMORROW!
 PLEASE ADD PAGE TO YOUR FAVORITS

Free 300 GB with 10 GB High-Speed(No Password BACKUP)


Hide Your IP & Protect Your Privacy!
Get Your 15 Day Free Trial Now.


Tags: Artificial, Intelligence, Networks, with, Scikit, Keras, Updated

Artificial Intelligence #5 MLP Networks with Scikit & Keras (Updated) Fast Download via Rapidshare Upload Filehosting Megaupload, Artificial Intelligence #5 MLP Networks with Scikit & Keras (Updated) Torrents and Emule Download or anything related.
Information
Comment on the news site is possible only within (days) days from the date of publication.