Text Classification using Attention Mechanism in Keras

In this tutorial, We build text classification models in Keras that use attention mechanism to provide insight into how classification […]

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Replac your RNN and LSTM with Attention base Transformer model for NLP

In the previous tutorial, we learn about “how to use neural networks to translate one language to another” and this […]

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TensorFlow BERT for Pre-training Natural Language Processing

BERT(Bidirectional Encoder Representations from Transformers) is a method of representations pre-training language, it’s trained on general-purpose “language understanding” model on […]

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TensorFlow Text Classification using Attention Mechanism

In this tutorial, we’re gonna to build a recurrent neural network that’s able to classify reviews. This can be used […]

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Predict Next Word using TensorFlow Keras

In this tutorial, we will build a language model to predict the next word based on the previous word in […]

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Predict Cryptocurrency Price using Tensorflow Keras

If you have machine learning skill why not apply that skill to predict cryptocurrency prices because everybody talking about cryptocurrency […]

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Multi-layer LSTM model for Stock Price Prediction using TensorFlow.

In machine learning, a recurrent neural network (RNN or LSTM) is a class of neural networks that have successfully been […]

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Time Series Prediction using TensorFlow Deep Learning

In this tutorial, we will build a TensorFlow RNN model for Time Series Prediction. This model is used to predict […]

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Build Your Chatbot Using TensorFlow seq2seq

In this tutorial, we will build a basic seq2seq model in TensorFlow for chatbot application. This tutorial gives you a […]

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Neural Machine translation using Seq2Seq model in TensorFlow

In this tutorial, we are going to build machine translation seq2seq or encoder-decoder model in TensorFlow.The objective of this seq2seq […]

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