Author丨Tian Yu Su Zhihu Column丨Machine Learning Link丨https://zhuanlan.zhihu.com/p/27296712 Introduction The second practical code is updated. The previous column introduced the Skip-Gram model in Word2Vec. If you have read it, you can directly start implementing your own Word2Vec model using TensorFlow. This article will use TensorFlow to complete the Skip-Gram model. If you are not familiar with … Read more
During the learning process, I collected relevant flowcharts for each chapter of the book “Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice.” This makes the knowledge points in the book more intuitive and easier for readers to learn and review. The flowcharts were compiled by a team I encountered before, known as the Code … Read more
Follow the WeChat official account “ML_NLP” Set as “Starred”, important content delivered to you first! ❝ I’ve been looking at the source code of word2vec these days and found that its loss function is not multi-class cross-entropy but NCE. So I checked some information and found this blog post, sharing it here. ❞ First, let’s … Read more
In section 4.4 of the book “Practical Machine Learning Projects with TensorFlow”, the author used skflow. When skflow first came out, it was quite popular, but the interface changed very frequently, leading to a decline in its usage, which also resulted in the code from section 4.4 no longer running. However, in the recently released … Read more
Click on the above“Beginner Learning Vision” to choose to add “Star” or “Top“ Important content delivered in real-time Development Environment Software Version Information: Windows 10 64-bit TensorFlow 1.15 TensorFlow Object Detection API 1.x Python 3.6.5 VS2015 VC++ CUDA 10.0 Hardware: CPU i7 GPU 1050ti To install the TensorFlow Object Detection API framework, see here: The … Read more
Today, I will share the improved model GER-UNet, which is based on the 2020 paper “Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.” By understanding the ideas behind this model, similar improvements can be made based on VNet. 1. Limitations of Conventional Convolutional Networks 1. Conventional convolutional neural networks can only utilize … Read more
Follow our public account “ML_NLP“ Set as “Starred“, heavy content delivered to you first! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/31096913 Author | Datartisan Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is any infringement, please contact the background for deletion. This article will … Read more
Deep learning is a general term for the process of machine learning using multi-layer neural networks. Multi-layer neural networks are models that utilize various mathematical methods and their combinations. In recent years, people have been able to effectively leverage neural networks primarily due to the reality of obtaining sufficient amounts of data and the rapid … Read more
Originally from PaperWeekly Column Introduction:Paddle Fluid allows users to execute programs similarly to PyTorch and Tensorflow Eager Execution. In these systems, the concept of a model no longer exists, and applications no longer contain a symbolic description for the Operator graph or a series of layers, but instead describe the training or prediction process like … Read more
In 2019, did everyone notice a social phenomenon where competition for AI positions became increasingly fierce?However, at the same time, companies say that there is a severe shortage of AI talent?This seems a bit contradictory, but upon closer examination, the main reason is that many people want to enter the high-paying AI industry, but the … Read more