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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    Greetings! We're looking for AI specialists who can provide consultation to us on how to build and train custom RNNs in Keras. Please read the requirements given below and if you feel like you're applicable, message us with your name, phone number and email address. Whom are we looking for: A person experienced in AI What are we looking for: We need to learn how to build and train custom RNNs in Keras. 2. We are not talking about the LSTM or GRU or other such already programmed RNNs. 3. We are talking about completely customized RNN with arbitrary architecture. 4. We are looking for an AI expert that can work with me for 45-60 minutes a day to teach me how things work concerning coding a custom RNN. Pay: The budget is not a problem. We can talk about the pay that you are expec...

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    Looking for an Expert in AI 5 days left
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    I am looking for an expert in AI, Keras, Tensorflow and customized arbitrary RNNs. Please apply if you have the experience.

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    I need help in coming up with a technique to determine when an object is not in the list of already classified objects. I believe openmax will solve this problem. I am sorting parts that are the identical shape, but differ in the text written on them. Unfortunately the text is written in a circle, so I can’t simply read the text with OCR. (At least I couldn’t make it work.) I have about 20 different labels on the parts I currently have. Some parts I have 1,000 pictures of, others I only have 100 pictures. I discovered while I was sorting that there are actually more than 20 different labels, there are parts I didn’t know about that only occur once or twice in five hundred parts. I would like to be able to identify and handle parts like this separately. I am u...

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