PyTorch

AI Machine Learning Python

Machine Learning with .NET, PyTorch and the ONNX Runtime

ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments In this episode, Seth Juarez (@sethjuarez) sits with Rich to show us how we can use the ONNX […]

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AI Deep Learning

Deep Learning Frameworks Review

With the plethora of deep learning frameworks out there, which one should you use? In this video, Siraj Raval compares 10 deep learning frameworks across a wide variety of metrics. PyTorch, Tensorflow, MXNet, Chainer, CNTK, Sonnet, DeepLearning4J, CoreML, ONNX.

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Neural Networks

CNN Weights – Learnable Parameters in Neural Networks

deeplizard has a great video on learnable parameters in neural networks in PyTorch.

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AI TensorFlow

Changes in TensorFlow 2.0

Aurélien Géron has provided a brief overview of what’s coming in TensorFlow 2.0 such as eager execution by default, simple tools for graph mode, more object-oriented design (e.g., Keras), big cleanup, and more!

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