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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Seq2Seq Model using TensorFlow

In this tutorial we’re going to build a seq2seq model in TensorFlow. We’re going to have some toy data. We’re […]

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Convolutional Neural Networks in TensorFlow Keras with MNIST(.9953% Accuracy)

Handwritten digits recognition is a very classical problem in the machine. It’s been around for 20 years is you go […]

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Train Keras model with TensorFlow Estimators and Datasets API

In the previous tutorial, everything we’ve seen is kind of standard Keras stuff. There’s nothing that we’ve really looked at that’s […]

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Create your own Image Recognition Model using TensorFlow Keras API.

This tutorial shows how to make a Convolutional Neural Network for recognition images from CIFAR-10 data-set with the Following concept. […]

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Speech Recognition: Decoding and Language Model

Welcome to the deep learning in speech recognition series. This is the third post in three part. In the first […]

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Speech Recognition : Connectionist Temporal Classification

Welcome to the deep learning in speech recognition series. This is the second part in three part. In the first part, […]

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Deep Learning in Speech Recognition: Encoding

Deep learning has been playing an increasingly large role in speech recognition. A human can quickly turn audio into words […]

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Convolutional Neural Network using TensorFlow High Level API

TensorFlow provides a high-level API that makes it easy to build a neural network. The  layers module enable you to build fully connected […]

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Importance of Batch Normalization in TensorFlow

Batch Normalization is a regularization function that has appeared recently. If you do any work in the neural network it’s […]

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