TensorFlow

An open source machine learning framework

Run this deep learning framework on the CPU, GPU, or TPU on servers, desktops, and mobile devices and deploy it on multiple platforms either locally or in the cloud.

28 May 2024

Tutorial

Build a machine learning node for Node-RED using TensorFlow.js

Learn how to combine TensorFlow.js with Node-RED to create AI-enabled Node-RED applications in various environments.

17 April 2024

Tutorial

An introduction to AI in Node.js

Leverage AI in your Node.js applications using TensorFlow.js.

28 February 2024

Learning Path

Developing cognitive IoT solutions for anomaly detection using deep learning

In this learning path, you'll learn about deep learning and long-short term memory networks (neural networks) and autoencoders, learn how to create a test physical model based data generator for anomaly detection, and finally learn how to create a deep learning neural network for anomaly detection on time-series data using Keras and TensorFlow.

19 September 2022

Learning Path

Summary

In this learning path, you learned how to use Node-RED to generate realistic anomaly test data by sampling from a physical model, how to create an unsupervised LSTM autoencoder neural network using TensorFlow and Keras, and finally how that neural network can be containerized and put behind an HTTP service API for easy consumption and scaling on Docker, Kubernetes, and Knative using IBM Cloud Code Engine.

21 July 2021

Tutorial

Implement autoencoders using TensorFlow

Learn about basic autoencoder concepts using TensorFlow, then implement them on a Jupyter Notebook.

21 May 2021

Learning Path

Compare deep learning frameworks

While each deep learning framework comes with its pros and cons, picking the right deep learning framework based on your individual workload is an essential first step every developer, deep learning practitioner, or data scientist must take.

21 May 2021

Learning Path

Enable Eager Execution in TensorFlow

Explore Eager Execution and learn about the benefits of having it enabled by default in TensorFlow.

21 May 2021

Learning Path

Perform logistic regression

Create a Jupyter Notebook that contains Python code for defining logistic regression, then use TensorFlow (tf.keras) to implement it.

12 March 2021

Article

Compare deep learning frameworks

11 March 2021

Tutorial

Perform logistic regression using TensorFlow

Create a Jupyter Notebook that contains Python code for defining logistic regression, then use TensorFlow (tf.keras) to implement it.

10 March 2021

Tutorial

Build a recurrent neural networks using TensorFlow Keras

Use a Jupyter Notebook to create an RNN model based on the LSTM unit to train and benchmark on the Penn Treebank data set, and learn how TensorFlow builds and executes an RNN model for language modeling.

06 November 2020

Tutorial

Build a recommendation engine with a restricted Boltzmann machine using TensorFlow

Create a movie recommendation model based on collaborative filtering to get recommendations on movies you might be interested in.

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TensorFlow

An open source machine learning framework

Build a machine learning node for Node-RED using TensorFlow.js

An introduction to AI in Node.js

Developing cognitive IoT solutions for anomaly detection using deep learning

Summary

Implement autoencoders using TensorFlow

Compare deep learning frameworks

Enable Eager Execution in TensorFlow

Perform logistic regression

Compare deep learning frameworks

Perform logistic regression using TensorFlow

Build a recurrent neural networks using TensorFlow Keras

Build a recommendation engine with a restricted Boltzmann machine using TensorFlow