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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    Face change in real time 6 days left
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    I need to make a real-time AI face replacement program. This is the link to the project website [login to view URL] I will post three video cases below. Real-time AI face replacement procedure. AI face capture can use different technologies to achieve this project.      [login to view URL] [login to view URL] Please use Google to get Deepfake. Learn more about the project....

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    I have a working implementation of a multivariate, multistep time series prediction using LSTMs on stock ticker data (OHLC). I wanted to extend this by adding some additional features (Technical Indicators) and scaling the input data as the new features are not of the same magnitude as the price. I can add the features and scale the input data, train the model and make predictions but I'm str...

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    Mandatory version to use: Keras: 2.2.4 Python: 3.6.6 Build a possible Feedforward Neural Netowrk for classifying a target class. Dataset contain around 65000 rows 1 target column and 22 predictors columns. The output of the network should be a probability of being 1 or 0 (the two target values). An accuracy of at least 75% should be reached. The data are already normalized i need it in the smal...

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    I need someone to develop AI/ML software. I will be providing video/pics for the model development. 1. To detect the mango fruits in the mango tree 2. To count the mangoes in a tree and 3. To grade them like small medium and big I like them to develop in open source framework and with python. I need complete development deployed in VitrialBox Ubuntu 18 If i'm happy, more work an...

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    Text detection 3 days left

    I would like to hire some one good in image processing and text detection. I would like to parse these data into text. Thank you very much

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    Make a Image Recognition System with a neural network (through Keras) which can be trained with just a single image per class. Later, it should be able to detect the objects from all the classes in any image given to it and draw a labeled box around it (through OpenCV). You don't need to make a GUI for it. Just keep everything in a Jupyter Notebook.

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