▲Click the above Leifeng Network to follow To some extent, the greatest advantage of deep learning is its ability to automatically create features that no one would think of. Now, deep learning has a place in many fields, especially in computer vision. Although many people are fascinated by it, the deep network is essentially a … Read more
Big Data Digest Work Students studying the Stanford CS231n open course, take note! The detailed explanations for Assignment 1 – 3 are now available! Yesterday, Big Data Digest initiated a call for participants in the course by Andrew Ng and Li Fei-Fei, and the enthusiasm for the#SpringFestivalCheckIn# activity was exceptionally high! The Digest team has … Read more
Source: Pythonic Biologist This article is about 1900 words long, and it is recommended to read it in 8 minutes. TensorFlow and PyTorch are quite similar; this article introduces loss functions using PyTorch as an example. 19 Types of Loss Functions 1. L1 Loss L1Loss Calculates the absolute difference between output and target. torch.nn.L1Loss(reduction='mean') Parameters: … Read more
Click the “CVer” above to select “Star” or “Pin”. Heavyweight content delivered at the first time. Author: Bi Ji Ji https://zhuanlan.zhihu.com/p/59271905 This article is authorized, and no secondary reproduction is allowed without permission. 1. The Differences Between nn.Module.cuda() and Tensor.cuda() Both the cuda() function can achieve memory migration from CPU to GPU for models and … Read more
Author: Nicolas Affiliation: Researcher at Zhuiyi Technology AI Lab Research Direction: Information Extraction, Machine Reading Comprehension Do you want to experience double the training speed? Do you want to instantly double your GPU memory? If I tell you that it only takes three lines of code, would you believe it? In this article, the author … Read more
Machine Heart Report Contributors: Siyuan, Yiming Keras and PyTorch are both among the most beginner-friendly deep learning frameworks. They operate like a simple language for describing architectures, telling the framework what layer should use what. Many researchers and developers are pondering which framework is better, but currently, both frameworks are very popular, each with its … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and researchers from enterprises. The Vision of the Community is to promote communication between the academic and industrial circles of natural language processing and machine learning, as … Read more
The official Chinese version of the PyTorch tutorial is here. PyTorch is one of the most popular deep learning frameworks recently, but its official Chinese tutorial has been long awaited. Recently, a complete official Chinese version of the PyTorch tutorial has been released, allowing readers to better learn and understand the relevant details of PyTorch. … Read more
Author丨z.defying@Zhihu Source丨https://zhuanlan.zhihu.com/p/76459295 Editor | Jishi Platform For academic sharing only, please contact to delete if there is infringement Table of Contents 1. Specify GPU ID 2. View model output details for each layer 3. Gradient Clipping 4. Expand image dimensions 5. One-hot encoding 6. Prevent out-of-memory during model validation 7. Learning rate decay 8. Freeze … Read more
Source: DeepHub IMBA This article is about 2000 words long and is recommended to be read in 5 minutes. This article will introduce some basic tensor operations in PyTorch. PyTorch is a Python-based scientific computing package. Its flexibility allows for easy integration of new data types and algorithms, and the framework is also efficient and … Read more