Character and word based LSTM RNN with TensorFlow -- 2

Hi, I am a PhD researcher working on machine learning and specifically deep learning. I have been working on several deep learning projects (both research and freelance projects), using Tensorflow and Python. Concerning your questions: 1. I have used RNN and LSTM models in many of my projects, for different problems, from sentiment analysis, document classification to language modelling and computer vision. 2. I would propose to use Python3 (>= 3.5) 3. The training set should be determined based on your task. I do not have enough information about your task to suggest a concrete dataset. In principle, a dataset, which is as close as possible to the domain of your task, should be used. 4. For generating new texts from a trained model, a greedy decoder or a beam search decoder (more advanced) can be used. 5. For any of my projects, the deliverables contain code files with comments and readme files (.txt or .doc) describing the project structure and code usage. If you are interested, please send me a message and we can further discuss.

1) Apart from Academics I have developed one stock pricing engine using RNNs ( tensorflow ) 2) Definitely python 3) Any text based dataset will do a good job ( must be tagged ) 4) Using the inference module of tensorflow 5) Each and every line in the code will be well documented apart for commenting the modules

I have 2+ years experience with deep learning. I worked for one year in several NLP tasks using deep learning approaches. I did Char and Word LSTM LM before with tensorflow. so i can customize my scripts for your requirments

Hello, I'm Carlos, Brazilian, AI Developer and Researcher . Nowadays I'm working with math translation using RNN's to translate natural language questions to math equations. 1. Describe your experience with RNNs. I have worked with RNNs arround 2 years. I did some courses about AI and Deep Learning and I've nanodegree on Deep Learning by Udacity 2. What language do you propose to use for this project? Python 3. What training set do you propose to use for this project? I need more information about the project to answer this question. 4. How do you propose to engage the trained AI (generate new text)? I need more information about the project to answer this question. 5. How are your code deliverables documented? I use to create some documents using UML to explain the system.

we have done chat bots and prediction of different systems. we will prefer python or R language training set may be according your requirements or after the detailed discussion it will be through word to vector to predict next documented according requirements