Tag: deep learning
SE Radio 588: José Valim on Elixir, Machine Learning, and Livebook
José Valim, creator of the Elixir programming language, Chief Adoption Officer at Dashbit, and author of three programming books, speaks with SE Radio host Gavin Henry about what Elixir is today, what Livebook is, the five spearheads of the new machine learning ecosystem for Elixir, and how they all fit together. Valim describes why he […]
Episode 549: William Falcon on Optimizing Deep Learning Models
William Falcon of Lightning AI discusses how to use the Lightning platform to optimize deep learning models, noting that optimization is a necessary step towards creating a production application. Philip Winston spoke with Falcon about PyTorch, PyTorch Lightning, the Lightning platform, the needs of training vs. inferencing, scalability, machine learning operations, distributed training, the LightningModule, […]
Episode 480: Venky Naganathan on Chatbots for Enterprise Applications
Venky Naganathan, Sr. Director of Engineering at Conga specializing in Artificial Intelligence and Chatbots talks about the buzz around Conversational UI. B2B companies have also started adopting the paradigm. Host Kanchan Shringi speaks with Naganathan about the need for the new UI paradigm for Enterprise Apps, what have been the enablers and the business use […]
Episode 479: Luis Ceze on the Apache TVM Machine Learning Compiler
Luis Ceze, CEO and co-founder of OctoML discusses Apache TVM, an open source machine learning model compiler for a variety of target architectures. Luis talks about the complexity in writing assembly code on different hardware targets for machine learning which contains predominantly numerical operations that benefit from specialized vector/tensor instructions and special memory layouts. Host […]
Episode 391: Jeremy Howard on Deep Learning and fast.ai
Jeremy Howard from fast.ai explains deep learning from concept to implementation. With transfer learning, individuals and small organizations can quickly get to work on machine learning problems using the open source fastai library and desktop graphics hardware. Jeremy and host Nate Black discuss neural network architecture and deep learning models, using pre-trained models from a […]
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