Inference with Torch-TensorRT Deep Learning Prediction for Beginners - CPU vs CUDA vs TensorRT
2.0
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This course provides an introduction to Torch-TensorRT deep learning prediction for beginners. It covers the steps to clone Torch-TensorRT, install and setup Docker, install Nvidia Container Toolkit and Nvidia Docker 2, and two container options for Torch-TensorRT. Participants will learn how to import Pytorch, load a model, and run inference on CPU, CUDA, and TensorRT. This course is ideal for those looking to get started with deep learning prediction.
Intro to PyTorch Tutorial: Building fashion recognizer
3.0
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This tutorial introduces the core functionality of PyTorch, and demonstrates how to use it to solve a classification problem. It covers defining the network architecture, loss function and optimizer, setting up TensorBoard, and the training loop. It provides a comprehensive overview of the fundamentals of PyTorch, and how to use it to build a fashion recognizer.
AI Show Live - PyTorch Enterprise - Episode 17
2.0
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PyTorch Enterprise was announced on the AI Show Live livestream, hosted by Seth and featuring Alon Bochman from Microsoft. PyTorch Enterprise on Microsoft Azure provides users with access to a range of features, such as AI model development, deployment, and management. The livestream also included a Q&A session.
Python Is Weird
5.0
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This module explores the weird and wonderful aspects of Python programming. It covers topics such as the antigravity module, the walrus operator, string interning, chained operations, dictionary key hashing, and the all function. It also poses a challenge to readers to guess the answer to a mystery question. Python is a powerful and versatile language, and this module provides an interesting insight into its quirks.
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