Optimization Of Neural Nets Using Tensorrt

Summary

A deep learning model is optimized to its maximum extent via specifying the optimizers and loss functions. This whole process is ... In many applications of deep learning models, we would benefit from reduced latency (time taken for inference). This tutorial will ... Modern computer vision applications demand real-time performance, yet many deep learning models struggle PyTorch is a deep learning framework for used to build artificial intelligence software From Gradient Descent to Adam. Here are some optimizers you should know. And an easy way to remember them.  ... Tensors are super important for Basic ideas behind Pytorch, TF, TFLite, In this episode of TensorFlow Meets, we are joined by Chris Gottbrath from NVidia and X.Q. from the Google Brain team to talk ...