Foundations for Machine Learning: Mini Bootcamp
LINEAR ALGEBRA I CALCULUS I STATISTICS I DATA STRUCTURES I
Deep Learning
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Applied Deep Learning: Building a Chess Object Detection Model with PyTorch
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A Hands-On Tutorial for Training Interpretable Variational Autoencoders Using siVAE
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Build an ML pipeline for BERT models with TensorFlow Extended – An end-to-end Tutorial
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Data, I/O, and TensorFlow: Building a Reliable Machine Learning Data Pipeline
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Deep Learning (with TensorFlow 2 & PyTorch)
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PyTorch 101: Building A Model Step-by-Step
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Convolutional Neural Networks Deep Dive
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ODSC East 2020: Best Practices in Deep Learning and the Art of Research Management
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ODSC East 2020: Deep Transfer Learning for Computer Vision: Real-World Applications at Nanoscale
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ODSC East 2020: Distributed Training Platform at Facebook
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ODSC East 2020: Audio Event Detection via Deep Learning in Python
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Deep Learning on Mobile Devices
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ODSC West 2020: Beyond OCR: Using Deep Learning to Understand Documents
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ODSC East 2020: Graph Neural Networks and their Applications
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ODSC Europe 2020: Deep Learning for Anomaly Detection
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ODSC West 2020: Building Content Embedding with Self Supervised Learning
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ODSC West 2020: Testing Production Machine Learning Systems
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ODSC East 2020: Deep Learning in Intelligent Process Automation
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Active Learning with PyTorch