2023-03-26
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Coursera Deep Learning Specialization Notes

3 mins read A couple of years ago I completed Deep Learning Specialization taught by AI pioneer Andrew Ng. I found this series […]
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2020-05-09
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Understanding Word2vec embedding with Tensorflow implementation

15 mins read This article is going to be about Word2vec algorithms. Word2vec algorithms output word vectors. Word vectors, underpin many of the […]
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2019-08-19
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How to reshape Input Data for Long Short-Term Memory (LSTM) Networks in Keras

8 mins read Preparing sequence data for an LSTM model can pose a challenge, particularly when it comes to defining the input layer […]
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2019-08-15
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A complete guide to understanding Long Short Term Memory (LSTM) Networks

37 mins read In this post, I provide three useful resources for understanding LTSMs. Introduction Sequence prediction problems have been around for a […]
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2019-02-24
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Understanding 1D, 2D, and 3D convolutional layers in deep neural networks

21 mins read In deep learning, convolutional layers have been major building blocks in many deep neural networks. The design was inspired by […]
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