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PyTorch

214 articles · Page 3 of 3
Sohu Tech Products
Sohu Tech Products
Nov 11, 2020 · Artificial Intelligence

Illustrated Transformer: Comprehensive Explanation and Code Implementation

This article provides a step‑by‑step illustrated guide to the Transformer architecture, covering its macro structure, detailed self‑attention mechanisms, multi‑head attention, positional encoding, residual connections, decoder operation, training process, loss functions, and includes complete PyTorch and custom Python code examples.

Multi-Head AttentionNLPPyTorch
0 likes · 33 min read
Illustrated Transformer: Comprehensive Explanation and Code Implementation
Python Programming Learning Circle
Python Programming Learning Circle
Apr 26, 2020 · Artificial Intelligence

Understanding PyTorch Autograd: Tensors, Gradients, and Backpropagation

This article explains PyTorch's autograd system, covering tensor creation, the requires_grad flag, detaching tensors, disabling gradient tracking with no_grad, the Function class and computational graph, and demonstrates forward and backward passes with code examples illustrating gradient computation and Jacobian‑vector products.

AutogradBackpropagationPyTorch
0 likes · 6 min read
Understanding PyTorch Autograd: Tensors, Gradients, and Backpropagation
58 Tech
58 Tech
Mar 27, 2020 · Artificial Intelligence

dl_inference: Open‑Source General Deep Learning Inference Service

dl_inference is an open‑source inference platform that simplifies deployment of TensorFlow and PyTorch models in production, offering unified gRPC access, load‑balanced multi‑node serving, GPU/CPU options, customizable pre‑ and post‑processing, and extensible architecture for future AI workloads.

AI InferenceOpen SourcePyTorch
0 likes · 11 min read
dl_inference: Open‑Source General Deep Learning Inference Service
UCloud Tech
UCloud Tech
Mar 24, 2020 · Artificial Intelligence

Why Does PyTorch Struggle with UFS Storage? Insights and Optimizations

A detailed case study reveals why PyTorch training on UFS file storage suffers severe I/O bottlenecks, compares it with local SSD and SSHFS, and presents practical optimizations such as using cv2.imdecode, caching DataLoader handles, and converting small‑file datasets into large UFS files to close the performance gap.

AI trainingOptimizationPyTorch
0 likes · 14 min read
Why Does PyTorch Struggle with UFS Storage? Insights and Optimizations
58 Tech
58 Tech
Dec 20, 2019 · Artificial Intelligence

Deep Learning Platform on Kubernetes: Architecture, Resource Management, Offline Training and Online Inference

The article presents a comprehensive overview of 58.com’s AI platform built on Kubernetes, detailing its layered architecture, resource scheduling, offline training pipelines, debugging environment, distributed TensorFlow/PyTorch training, performance benchmarks, and online inference services, highlighting how the system empowers various business units with scalable AI capabilities.

Distributed TrainingKubernetesPyTorch
0 likes · 11 min read
Deep Learning Platform on Kubernetes: Architecture, Resource Management, Offline Training and Online Inference
MaGe Linux Operations
MaGe Linux Operations
Sep 27, 2019 · Artificial Intelligence

Top 10 Python Libraries Every AI Developer Should Master

This article introduces ten essential Python libraries—TensorFlow, Scikit‑Learn, NumPy, Keras, PyTorch, LightGBM, Eli5, SciPy, Theano, and Pandas—detailing their features, typical use cases, and adoption in machine‑learning and data‑science projects, while highlighting each library's performance advantages, community support, and integration capabilities to help developers choose the right tool for their AI workflows.

KerasNumPyPyTorch
0 likes · 15 min read
Top 10 Python Libraries Every AI Developer Should Master
Qunar Tech Salon
Qunar Tech Salon
Sep 11, 2018 · Artificial Intelligence

Overview of Deep Learning Object Detection Methods and Detailed Implementation of Faster R‑CNN

This article reviews major deep‑learning object detection approaches—including one‑stage YOLO and SSD and two‑stage RCNN, Fast RCNN, and Faster RCNN—then provides a step‑by‑step explanation of Faster RCNN’s architecture, region‑proposal network, RoI pooling, loss functions, and sample PyTorch code.

Faster R-CNNPyTorchPython
0 likes · 20 min read
Overview of Deep Learning Object Detection Methods and Detailed Implementation of Faster R‑CNN
MaGe Linux Operations
MaGe Linux Operations
Mar 3, 2017 · Artificial Intelligence

Top 5 Python Libraries to Supercharge Your Machine Learning Projects

This article introduces five highly rated Python libraries—PyWren, Tfdeploy, Luigi, Kubelib, and PyTorch—that streamline data handling, cloud execution, workflow orchestration, and GPU acceleration, helping machine‑learning engineers boost productivity and tackle complex projects more efficiently.

AWS LambdaKubernetesPyTorch
0 likes · 6 min read
Top 5 Python Libraries to Supercharge Your Machine Learning Projects