An open-source machine learning framework.
Before open source was cool, IBM worked to establish open source as technology that's safe (and good!) for the enterprise.
Mar 19, 2019
Image recognition with TensorFlow and Keras
Stewarding open source for the future
Refine your deep learning model
Generate restaurant reviews using deep learning
See all events
Feb 19, 2019
Improve your neural network model by using some well-known machine learning techniques.
Artificial intelligenceData Science+
Use computer vision, TensorFlow, and Keras for image classification and processing.
Feb 04, 2019
Apache SparkArtificial intelligence+
Customize a notebook package to include Anaconda, Watson PowerAI, and sparkmagic and use that to run a Keras model connect to a Hadoop cluster and execute a Spark MLlib model.
Feb 01, 2019
Use PyWren to accelerate data preprocessing to build a facial recognition data model.
Jan 14, 2019
Classify radio signals to allow the signal detection system to make better observational decisions and increase the efficiency of the nightly scans to search for extraterrestrial life.
Jan 09, 2019
Face detection is being used increasingly in many industries. Initially associated with the security industry, it's now expanding into other industries such as retail, marketing, and health. A good accuracy of face detection algorithms is essential to its application in these industries and also for its expansion to other industries.…
Dec 12, 2018
The past, present, and future of open source and AI at IBM.
Oct 30, 2018
Learn how TensorFlow and PyTorch compare against each other using convolutional neural networks as an example for image training using a Resnet-50 model.
Sep 19, 2018
Learn how the AI Fairness 360 toolkit can help you identify and quantify bias in machine learning model training.
Jul 16, 2018
TensorFlow programs are different from typical programs. Learn techniques for debugging them in different scenarios.
Learn how to install TensorFlow from source on Power platforms.
Jul 13, 2018
Artificial intelligenceDeep Learning+
Leverage Tensorflow and Fabric for Deep Learning to train and deploy Fashion MNIST model on Kubernetes.
Train a deep learning model to classify audio embeddings on Watson Machine Learning and perform inference/evaluation with Watson Studio.
May 07, 2018
Train a deep learning language model in a notebook using Keras and Tensorflow.
Jan 03, 2018
Learn how to implement a REST API to handle inference request on IBM Cloud for any Tensforflow model.
Nov 16, 2017
TensorFlow is just one of the many open source software libraries for machine learning. In this tutorial, get an overview of TensorFlow, learn which platforms support it, and look at installation considerations.
Nov 03, 2017
Create a mobile application leveraging TensorFlow that will recognize and translate handwritten Korean characters.
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