Deep Learning has shown tremendous success, but what makes it so special? What are neural networks, and how do they work? What are the differences between popular Deep Learning frameworks like Keras or TensorFlow, and where should you start?
In this webinar, we will apply your convolutional neural network using the ImageNet scenario. We will also review some of the ImageNet architectures and how convolutions work.
We will bring these concepts to life and demonstrate how Databricks simplifies deep learning by letting you quickly access ready to use ML environments as well as prepare data, and train models faster.
After this session, we’ll arm you with the tools you need to run the samples yourself. Attendees will have access to presentations and associated Databricks notebooks.
Part of a Deep Learning Series
Applying your Convolutional Neural Network is the third webinar in a three-part Deep Learning Fundamentals Series by Databricks. The series introduces you the fundamentals surrounding deep learning with a focus on Keras and TensorFlow.
Technical Product Marketing Manager at Databricks
Denny Lee is a Technical Product Marketing Manager at Databricks. He is a hands-on distributed systems and data sciences engineer with extensive experience developing internet-scale infrastructure, data platforms, and predictive analytics systems for both on-premise and cloud environments. He also has a Masters of Biomedical Informatics from Oregon Health and Sciences University and has architected and implemented powerful data solutions for enterprise Healthcare customers.