Practical PyTorch Tutorial (Second Edition) Released!
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Machine Learning
A Collection of Common PyTorch Code Snippets
Source | Jishi Platform Author | Jack Stark@Zhihu The best resources for PyTorch are the official documentation. This article is a collection of common PyTorch code snippets, with some modifications based on reference material [1](Zhang Hao: PyTorch Cookbook) for easier consultation during use. 1 Basic Configuration Import Packages and Check Versions import torch import torch.nn … Read more
Visualizing Neural Network Structures in PyTorch
Click on the “CVer“, and choose to “star” or “top” it Heavyweight content delivered at the first time Author: Tian Haishan https://zhuanlan.zhihu.com/p/66320870 This article is authorized, and no secondary reproduction is allowed without permission Installation You can install it using the following commands conda install pytorch-nightly -c pytorch conda install graphviz conda install torchvision conda … Read more
Major Update to PyTorch Official Tutorial: Enhanced Indexing for Beginners
Yuyang from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI The official PyTorch tutorial has been significantly updated: It now offers a tag index, enhances topic categorization, and is more beginner-friendly. No longer do you have to face a whole page of tutorial articles in confusion; you can now precisely click where you want … Read more
When AI Becomes a Capability: Amazon SageMaker Arrives
What is AI? An application, or a technology? Today, as AI becomes more prevalent, it resembles a capability, a capability that permeates various industries and scenarios, enabling intelligent applications. As AI enters the “capability era”, its “three essentials” (data, algorithms, computing power) indicate that algorithms are becoming increasingly important, as they are the core element … Read more
Distributed TensorFlow Training with Amazon SageMaker
Machine Heart Reprint Source: AWS Official Blog Author: Ajay Vohra TensorFlow is an open-source machine learning (ML) library widely used for developing large deep neural networks (DNNs), which require distributed training and utilize multiple GPUs across various hosts.Amazon SageMaker is a managed service that simplifies the ML workflow starting from labeled data through active learning, … Read more
Using PyTorch to Simulate Drug Interactions with HUAWEI Pangu Model
## HUAWEI Pangu Model: From Weather Forecasting to New Drug Development Recently, the tech world has been buzzing with HUAWEI’s Pangu model making frequent appearances, predicting the weather one moment and working on new drug development the next. The Pangu model, as its name suggests, is indeed impressive. It is not a simple model but … Read more
Amazon SageMaker JumpStart: Get Started with Llama3
On April 18th, local time in the US, Meta released the highly anticipated open-source large language model Llama3, which offers two model sizes: 8B and 70B parameters, with a 400B version expected to be released in the future. Meta mentioned in their blog that thanks to improvements in training techniques, the Llama3 models, both 8B … Read more
Amazon SageMaker: Leading Ubiquitous Innovation
Written by:Kang Xiang Editor: Ayou Design: Zicai It is no exaggeration to say that among the many cloud services released by AWS, Amazon SageMaker absolutely belongs to the level of Star of the Stars. As a fully managed service, SageMaker helps developers and data scientists quickly build, train, and deploy machine learning (ML) models. How … Read more
Detailed Overview of Amazon SageMaker Studio
Machine learning is inherently a highly collaborative process, where the combination of domain expertise and technical skills is the cornerstone of success, often requiring multiple iterations and experiments. Compared to research projects or prototype validations, a machine learning project that can be truly applied in a production environment needs to comprehensively consider all aspects of … Read more