Creating and learning word2vec skipgram
67 USD 2nd To realize a function that for the given word finds the nearest words with the use of a cosynus similarity along with their corresponding assessment.
Three Create a 2D or 3D projection (with reduced size) and create a plate
4 . Using k-medium, find interesting clusters of words (embeddings).
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Winning proposal3 days67 USD
580 14 2 Winning proposal3 days67 USD
Hello to you! I can perform your task in implementing and learning word2vec skip gram with the functional TensorFlow Keras API. I can also realize a function that for the given word finds the nearest words with the use of a cosynus similarity along with their corresponding assessment. In addition, I can create a 2D or 3D projection (with a decrease in size) and create a plate.
To perform the task I will use Python programming language and the libraries of TensorFlow, Keras, NumPy and Matplotlib. I can provide you with the code, results and graphs in the format that is convenient for you.
To start work, I need more detailed information about the task and your requirements. Please contact me to discuss details and agree on the deadlines and costs of the task.
Thank you, I'm waiting for your answer!
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