neural network Archives - Petamind https://petaminds.com/tag/neural-network/ A.I, Data and Software Engineering Sat, 26 Mar 2022 02:11:59 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://petaminds.com/wp-content/uploads/2019/09/ic_launcher.png neural network Archives - Petamind https://petaminds.com/tag/neural-network/ 32 32 Advanced Keras – Custom loss functions https://petaminds.com/advanced-keras-custom-loss-functions/ https://petaminds.com/advanced-keras-custom-loss-functions/#comments Wed, 23 Mar 2022 00:31:00 +0000 https://petaminds.com/?p=1391 When working on machine learning problems, sometimes you want to construct your own custom loss function(s). This article will introduce abstract Keras backend for that purpose. Keras loss functions From Keras loss documentation, there are several built-in loss functions, e.g. mean_absolute_percentage_error, cosine_proximity, kullback_leibler_divergence etc. When compiling a Keras model, we often pass two parameters, i.e. […]

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]]> https://petaminds.com/advanced-keras-custom-loss-functions/feed/ 5 Recurrent neural network – predict monthly milk production https://petaminds.com/recurrent-neural-network-predict-monthly-milk-production/ https://petaminds.com/recurrent-neural-network-predict-monthly-milk-production/#respond Thu, 28 Nov 2019 20:50:24 +0000 https://petaminds.com/?p=1904 In part 1, we introduced a simple RNN for time-series data. To continue, this article applies a deep version of RNN on a real dataset to predict monthly milk production. The data Monthly milk production: pounds per cow. Jan 1962 – Dec 1975. You can download the data using this link. Download: CSV file The […]

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]]> https://petaminds.com/recurrent-neural-network-predict-monthly-milk-production/feed/ 0 Recurrent neural network – time-series data- part 1 https://petaminds.com/recurrent-neural-network-time-series-data-part-1/ https://petaminds.com/recurrent-neural-network-time-series-data-part-1/#comments Fri, 22 Nov 2019 00:09:00 +0000 https://petaminds.com/?p=1863 If you are human and curious about your future, then the recurrent neural network (RNN) is definitely a tool to consider. Part 1 will demonstrate some simple RNNs using TensorFlow 2.0 and Keras functional API. What is RNN An RNN is a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence (time […]

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]]> https://petaminds.com/recurrent-neural-network-time-series-data-part-1/feed/ 1 Word2vec with TensorFlow 2.0 – a simple CBOW implementation https://petaminds.com/word2vec-with-tensorflow-2-0-a-simple-cbow-implementation/ https://petaminds.com/word2vec-with-tensorflow-2-0-a-simple-cbow-implementation/#comments Sat, 19 Oct 2019 23:30:20 +0000 https://petaminds.com/?p=1144 In TensorFlow website, there is a good example of word embedding implementation with Keras. Nevertheless, we are curious to see how it looks like when implementing word2vec with PURE TensorFlow 2.0. What is CBOW In the previous article, we introduced Word2vec (w2v) with Gensim library. Word2vec consists of two-layer neural networks that are trained to reconstruct linguistic […]

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]]> https://petaminds.com/word2vec-with-tensorflow-2-0-a-simple-cbow-implementation/feed/ 2 A.I in agriculture – Fruit Grading with Keras (part 2) https://petaminds.com/a-i-in-agriculture-fruit-grading-with-keras-part-2/ https://petaminds.com/a-i-in-agriculture-fruit-grading-with-keras-part-2/#respond Sun, 06 Oct 2019 07:05:15 +0000 https://petaminds.com/?p=994 In part 1, we introduced fruit classification with pure python implementation. In this part, we will use the Keras library instead. What is Keras Keras is an open-sourceneural-network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano, or PlaidML. Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible.  […]

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]]> https://petaminds.com/a-i-in-agriculture-fruit-grading-with-keras-part-2/feed/ 0 AI in agriculture: fruit grading (Part 1) https://petaminds.com/use-ai-technology-in-agriculture-for-fruit-grading-part-1/ https://petaminds.com/use-ai-technology-in-agriculture-for-fruit-grading-part-1/#comments Thu, 26 Sep 2019 03:37:27 +0000 http://petaminds.com/?p=645 During a meet up last month, a friend told me about the current project on a farm in New Zealand. They want to build a system to grade their fruits and AI is the technology they are looking for. It inspired me to write about how machine learning can help in solving such a problem. […]

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]]> https://petaminds.com/use-ai-technology-in-agriculture-for-fruit-grading-part-1/feed/ 1 Word2vec with gensim – a simple word embedding example https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/ https://petaminds.com/word2vec-with-gensim-a-simple-word-embedding-example/#comments Wed, 11 Apr 2018 05:58:27 +0000 https://petaminds.com/?p=1127 In this short article, we show a simple example of how to use GenSim and word2vec for word embedding. Word2vec Word2vec is a famous algorithm for natural language processing (NLP) created by Tomas Mikolov teams. It is a group of related models that are used to produce word embeddings, i.e. CBOW and skip-grams. The models are […]

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