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Machine translation is one of the biggest applications of NLP. Learn about neural machine translation and its implementation in Python using keras.
Recurrent Neural Networks Python are one of the fundamental concepts of deep learning. Learn RNN from scratch and how to build and code.
Stock market predictions using machine learning and deep learning techniques, such as Moving Averages, knn, ARIMA, prophet, and LSTM.
Sequence prediction is the application of deep learning. In this article learn sequence prediction using compact prediction tree algorithms in python.
This article covers automatic Image Captioning. It also explains how to solve the image captioning problem using deep learning along with an implementation.
This article covers Seq2Seq models and Attention models. This seq2seq tutorial explains Sequence to Sequence modelling with Attention.
This tutorial teaches you to build an AI chatbot for Slack using Google's DialogFlow (previously api.ai) from scratch and in a beginner friendly manner.
Learn about text generators, text generation using python to build a machine learning model that can write sonnets in the style of William Shakespeare.
Chatbots are starting to take on an increasingly prominent role. Here, we take a look at how to build a FAQ chatbot from scratch using RASA NLU in Python.
In this article learn about long short term memory network and architecture of lstm in deep learning, promising solution to sequence.
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