In this 1-hour long project-based course, you will delve into using the Keras API with TensorFlow to construct and train a bidirectional LSTM neural network model for named entity recognition in text data. This essential technique is widely applicable to identifying entities such as people, locations, and organizations, serving as a vital preprocessing step for various natural language processing applications.
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Get Started / More InfoIBM Applied AI course equips you with Python skills to design, build, and deploy AI applications. Learn to create chatbots, explore machine learning, and develop...
Build a Keras Horse Zebra CycleGAN Webapp with Streamlit in this guided project. Learn to transform images using a pre-trained model and create a web UI for GAN...
Google Cloud Big Data and Machine Learning Fundamentals 日本語版 provides an in-depth understanding of Google Cloud's big data and machine learning products...
Unleash your creativity with Neural Style Transfer using Tensorflow. Learn to transform images with the styles of famous artists in this hands-on course.