Deep learning

Location : Orange County Convention Center, 9400 Universal Blvd., Orlando, 32819, United States

Learn about the basics of PyTorch and it's support for the training, evaluation, and inferencing phases of the machine learning workflow.

Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make distributed deep learning fast and easy to use.

Interact with deep search platform for new knowledge explorations and discoveries

Explore the use of machine learning algorithms in threat detection and management.

Explore this branch of machine learning that's trained on large amounts of data and deals with computational units working in tandem to perform predictions.

Discover the range and types of deep learning neural architectures and networks, including RNNs, LSTM/GRU networks, CNNs, DBNs, and DSN, and the frameworks to help get your neural network working quickly and well.

To apply deep learning, you need a good data set. You want your model to generalize to the data, such that it can make accurate predictions on new, unseen data.

Get an introduction to natural language processing and learn how it can help us to converse more naturally with computers.

Learn about reinforcement learning, a subfield of machine learning with which you can train software agents to behave rationally in an environment. In this article, you'll delve into the technology and discover some of the problem areas to which you can apply it.