TransCoder is a Facebook AI neural network that translates program code from one language to another. The model does not need labeled parallel data for training.
TransCoder is a Facebook AI neural network that translates program code from one language to another. The model does not need labeled parallel data for training. At the moment, TransCoder is successfully porting functions to C ++, Java, and Python 3. The neural network bypasses existing open source and commercial programs for translating the codebase.
In the recent story, we were discussing ContraCode — a deep learning model that finds functionally similar code. There is another deep learning application for the so-called meta-programming.
Porting your codebase from a legacy language like COBOL to alternative modern languages like Java or C ++ is a resource-intensive task. The process assumes expertise in both source and target languages.
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
PyTorch for Deep Learning | Data Science | Machine Learning | Python. PyTorch is a library in Python which provides tools to build deep learning models. What python does for programming PyTorch does for deep learning. Python is a very flexible language for programming and just like python, the PyTorch library provides flexible tools for deep learning.
Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.