tensorflow Archives - Petamind https://petaminds.com/tag/tensorflow/ 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 tensorflow Archives - Petamind https://petaminds.com/tag/tensorflow/ 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. […]

The post Advanced Keras – Custom loss functions appeared first on Petamind.

]]> https://petaminds.com/advanced-keras-custom-loss-functions/feed/ 5 Continue training big models on less powerful devices https://petaminds.com/continue-training-big-models-on-less-powerful-devices/ https://petaminds.com/continue-training-big-models-on-less-powerful-devices/#respond Sun, 22 Mar 2020 00:51:57 +0000 https://petaminds.com/?p=2338 It would not be a surprise that you may not have a powerful expensive machine to train a complicate model. You may experience the problem of not enough memory during training in some epoch. This article demonstrates a simple workaround for this. The problem Training deep learning models requires a lot of computing power. For […]

The post Continue training big models on less powerful devices appeared first on Petamind.

]]> https://petaminds.com/continue-training-big-models-on-less-powerful-devices/feed/ 0 Generate data on the fly – Keras data generator https://petaminds.com/generate-data-on-the-fly-keras-data-generator/ https://petaminds.com/generate-data-on-the-fly-keras-data-generator/#respond Fri, 31 Jan 2020 23:13:05 +0000 https://petaminds.com/?p=1906 Previously, we train our model using the pre-generated dataset, for example, in the recommender system or recurrent neural network. In this article, we will demonstrate using a generator to produce data on the fly for training a model. Keras Data Generator with Sequence There are a couple of ways to create a data generator. However, […]

The post Generate data on the fly – Keras data generator appeared first on Petamind.

]]> https://petaminds.com/generate-data-on-the-fly-keras-data-generator/feed/ 0 deep learning: Linear Autoencoder with Keras https://petaminds.com/deep-learning-linear-autoencoder-with-keras/ https://petaminds.com/deep-learning-linear-autoencoder-with-keras/#respond Mon, 09 Dec 2019 02:22:01 +0000 https://petaminds.com/?p=2027 This post introduces using linear autoencoder for dimensionality reduction using TensorFlow and Keras. What is a linear autoencoder An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction, by training the network to ignore signal “noise”. Autoencoders consists […]

The post deep learning: Linear Autoencoder with Keras appeared first on Petamind.

]]> https://petaminds.com/deep-learning-linear-autoencoder-with-keras/feed/ 0 Quick Benchmark Colab CPU GPU TPU (XLA-CPU) https://petaminds.com/quick-benchmark-colab-cpu-gpu-tpu-xla-cpu/ https://petaminds.com/quick-benchmark-colab-cpu-gpu-tpu-xla-cpu/#respond Tue, 12 Nov 2019 00:51:00 +0000 https://petaminds.com/?p=1809 If you ever wonder about the performance differences between CPU, GPU, and TPU for your machine learning project, this article shows a simple benchmark for these three. Memory Subsystem Architecture Central Processing Unit (CPU), Graphics Processing Unit (GPU) and Tensor Processing Unit (TPU) are processors with a specialized purpose and architecture. CPU: A processor designed […]

The post Quick Benchmark Colab CPU GPU TPU (XLA-CPU) appeared first on Petamind.

]]> https://petaminds.com/quick-benchmark-colab-cpu-gpu-tpu-xla-cpu/feed/ 0 TF2.0 Warm-up exercises (forked from @chipHuyen Repo) https://petaminds.com/tf2-0-warm-up-exercises-forked-from-chiphuyen-repo/ https://petaminds.com/tf2-0-warm-up-exercises-forked-from-chiphuyen-repo/#comments Fri, 08 Nov 2019 01:54:24 +0000 https://petaminds.com/?p=1681 Heard of Ms @huyen chip for her notable yet controversial travelling books back in the day. I enjoy reading but I am not really into travel memoirs. Nevertheless, she did surprise everyone by her achievements by getting in Stanford, teaching TensorFlow, and then became a computer/data scientist. Her story is definitely very inspiring. For ones who […]

The post TF2.0 Warm-up exercises (forked from @chipHuyen Repo) appeared first on Petamind.

]]> https://petaminds.com/tf2-0-warm-up-exercises-forked-from-chiphuyen-repo/feed/ 4 Dimension, Dimension, Dimension – Reshape your data https://petaminds.com/dimension-dimension-dimension-reshape-your-data/ https://petaminds.com/dimension-dimension-dimension-reshape-your-data/#respond Mon, 28 Oct 2019 21:45:59 +0000 https://petaminds.com/?p=1553 The most basic yet important thing when working with data array is its dimensions. This article will cover several data shapes and reshaping techniques. Why need reshaping data Imagine that you are starving and suddenly given a piece of delicious food. You may try to put it all in your mouth (Fig 1a) and find […]

The post Dimension, Dimension, Dimension – Reshape your data appeared first on Petamind.

]]> https://petaminds.com/dimension-dimension-dimension-reshape-your-data/feed/ 0 New TensorFlow 2.0 vs 1.X – Quick note https://petaminds.com/new-tensorflow-2-0-vs-1-x-quick-note/ https://petaminds.com/new-tensorflow-2-0-vs-1-x-quick-note/#respond Thu, 10 Oct 2019 08:25:53 +0000 https://petaminds.com/?p=1048 TensorFlow 2.0 is out! Get hands-on practice at TF World, Oct 28-31. TensorFlow Ads Since the TF2.0 API reference lists have already been made publicly available, TF2.0 is still in RC.2 version. It is expected that the final release will be made available in the next few days (or weeks). What’s new in TF2.0: The […]

The post New TensorFlow 2.0 vs 1.X – Quick note appeared first on Petamind.

]]> https://petaminds.com/new-tensorflow-2-0-vs-1-x-quick-note/feed/ 0 Save, restore, visualise Graph with TensorFlow v2.0 & KERAS https://petaminds.com/save-restore-visualise-graph-with-tensorflow-v2-0-keras/ https://petaminds.com/save-restore-visualise-graph-with-tensorflow-v2-0-keras/#comments Tue, 08 Oct 2019 12:36:30 +0000 https://petaminds.com/?p=1031 TensorFlow 2.0 is coming really soon. Therefore, we quickly show some useful features, i.e., save and load a pre-trained model, with v.2 syntax. To make it more intuitive, we will also visualise the graph of the neural network model. Benefits of saving a model Quick answer: to save time, easy-share, and fast deploy. A SavedModel […]

The post Save, restore, visualise Graph with TensorFlow v2.0 & KERAS appeared first on Petamind.

]]> https://petaminds.com/save-restore-visualise-graph-with-tensorflow-v2-0-keras/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.  […]

The post A.I in agriculture – Fruit Grading with Keras (part 2) appeared first on Petamind.

]]> https://petaminds.com/a-i-in-agriculture-fruit-grading-with-keras-part-2/feed/ 0