She's passionate about supporting and mentoring women and other minorities who are looking to enter the field of technology. She enjoys keeping up with the fascinating advances in the field of machine learning and is excited about where the field is headed. She holds a Masters degree from University of Southern California with a focus on image processing and computer vision. Previously, she worked on building image processing tools at VSCO. Shruti Sharma is a Machine Learning Engineer at VSCO (where she trains deep learning models and builds APIs to use these models in VSCO's products. You’ll find her either spending time with her dog, collecting strawberry knick knack or coding one of her many personal projects. Jessica is the co-organizer for Google Developers Group San Francisco, is a Women Techmakers lead and a teacher for Girl Develop It.
#Vsco keys open source full
Jessica is a full stack developer who enjoys sharing knowledge and support others. She loves to connect with developers and explore VUI (voice user interface) to add another dimension to how user interact with technology. VSCO has open-sourced the code for the installer and Keys app.
#Vsco keys open source for free
In August 2015, it was discontinued as a product for purchase, and is now open source and available for free download.
Jessica Dene Earley-Cha is a Developer Advocate for Google Assistant. Keys was originally distributed by VSCO in order to give users a speed boost when editing images in Adobe Photoshop Lightroom. After building your own application, Shruti will show how this looks in a real production environment - how the Machine Learning team at VSCO leverages TensorFlow and TensorFlow Serving for real-time image classification. In this talk, Shruti will walk through the process of training an image classification model using TensorFlow in Keras, and then using TensorFlow Serving to serve the model and run prediction on images. It has been key in the democratization of deep learning across multiple domains. It is used by researchers, engineers, students, and others. It includes four different microphone positions and a variety of articulations. Layers’ packs 17 GB of orchestral samples. It’s no surprise that their free offering packs some of the best free orchestral sounds you can get. Talk: Deep Convolutional Neural Networks using TensorFlow and TensorFlow Serving Description: TensorFlow is a powerful open-source library from Google for machine intelligence. Orchestral Tools is a high quality orchestral library creator. Learn how Google Assistant works and how you can leverage the platform to add an additional layer of access and interactivity to your users. Talk: Introduction to Extending Google Assistant Description: Learn about the latest dynamic in technology - Voice User Interface (VUI). Agenda : 6:00pm - 6:30pm Check-in and networking over food and drinks 6:30pm: Talks Introduction to Extending Google Assistant Deep Convolutional Neural Networks using TensorFlow and TensorFlow Serving
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