Author: Adrian Rosebrock Translator: Zhang Yiran Proofreader: wwl This article is about3700 words, recommended reading time8 minutes. In this article, you will learn how to use siamese networks and the deep learning libraries Keras / TensorFlow to compare the similarity of two images (and whether they belong to the same or different classes). This blog … Read more
Abstract: Handwritten digit recognition is an important component of artificial intelligence recognition systems. Due to individual differences in handwritten digits, the accuracy of existing recognition systems is relatively low. This paper completes the recognition and application of handwritten digits based on the TensorFlow deep learning framework. First, the TensorFlow deep learning framework is established, and … Read more
Click the above “MLNLP” to select “Star” public account Important content delivered at the first time From | Zhihu Author | Yao Shi Address | https://zhuanlan.zhihu.com/p/63500952 Column | The Path of Learning Non-Convex Optimization Editor | Machine Learning Algorithms and Natural Language Processing [TensorFlow] Source Code Analysis of AdamOptimizer The optimizers in TensorFlow basically inherit … 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
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
Today, I will share the improved model DC-UNet, which is based on the U-Net architecture. The improvement comes from the 2020 paper titled “DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation.” By understanding the concept of this model, similar improvements can be made based on VNet. 1. Original UNet … Read more