Keras is an open source neural network library that is written in the Python language. It should be noted that it is capable of running on top of other frameworks/software libraries, such as Microsoft Cognitive Toolkit, TensorFlow, and Theano. For those who don’t know, a neural network is actually a computing system that is meant to imitate the neural activity of animal brains, and is a collection of nodes called “artificial neurons”.

Keras as a neural network helps to optimize a lot of functions, and is used to make working with image and text data infinitely easier. This could help to improve productivity for countless platforms and companies who work with data. It is a tool that caters to the recent technological trend of deep learning, where companies are using AI to optimize their companies and find out more information about their consumer base, such as predictive trends or overall consumer trends.

Keras has over 200,000 users already, and was recently the 10th most cited tool in the 2018 Nuggets 2018 software poll, which indicates that it is rising in popularity and relevancy in the tech sector. It ultimately helps many companies experiment faster with certain processes, as well.

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    We have a processed Comma Seperated File(CSV) extracted from ATDF files of the probecards. You will need to combine several CSVs to make a final dataframe which should be used for final predictions. Data Cleaning, Excellent feature engineering is required to get the information out of the exisiting features. Need to perform Machine Learning, AutoML or deep learning(whichever is suitable for this t...

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    Project - Defense against adversarial attack dataset: MNIST, CIFAR10 adversarial attacks : There are several attacks possible on deep learning classifiers(for example, Lets say there is a handwritten image of 5 the deep learning classifier(here I used CNN) may classify it as 6 or any other number based on attack). github : [đăng nhập để xem URL] Defense GAN: [đăng nhập để xem URL], [đăng nhập để x...

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    1) Make a mLSTM Keras layer via subclass [đăng nhập để xem URL] 2) Briefly test new layer with baseline model.

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    I want a code written for the robot to take images or video and recognize the images.

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    Hello, I want you to do examples of Algorithms in Keras and give descriptive comments. For example: Notebook1: Do CNN example in keras and explanatory comments -> get paid 2.5$ Notebook2: Do RNN example in keras and expalanatory comments -> get paid 2.5$ I have a lot of requirement Notebook like this. So you may earn 100-150$. Don't bid without reading.

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    Face Recognition -- 7 1 giờ left
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    Project scope: They are two model. In this project; one is the original code which was downloaded from: [đăng nhập để xem URL] , and the other code was developed by me in order to improve the original result. so, know Both codes were tested on the same dataset Multiple dataset and both result are good. The image quality result was good and loss accuracy loss including, generator loss, pixel loss,...

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