Introduction Creating precise machine learning models capable of identifying and locating multiple objects in a single image remains a core challenge in computer vision. However, with recent advancements in deep learning, object detection applications are easier to develop than ever before. The TensorFlow Object Detection API is an open-source framework built on top of TensorFlow … Read more
What is Scikit-learn? Scikit-learn is an open-source Python library that includes various unsupervised and supervised learning techniques. It is built on technologies and libraries such as Matplotlib, Pandas, and NumPy, which help simplify coding tasks. Features of Scikit-learn include: Classification (including K-Nearest Neighbors) Preprocessing (including Min-Max normalization) Clustering (including K-Means++ and K-Means) Regression (including Logistic … Read more
Click on the “Beginner’s Visual Learning” above to select “Star” or “Pin“ Important content delivered promptly 0. Introduction During the pandemic, we searched for TensorFlow pre-trained models on GitHub and found a repository containing 25 object detection pre-trained models with their performance and speed metrics. Utilizing one of these models to build a social distance … Read more
Source: Authorized by AI Technology Camp (ID: rgznai100) This article is approximately 3000 words long and is recommended to be read in 7 minutes. This article will introduce you to a comprehensive manual detailing TensorFlow 2.0. [ Guide ]After the official release of TensorFlow 2.0, it immediately received widespread attention and praise from the academic … Read more
https://iamarookie.blog.csdn.net/article/details/117755839 Basic Operations in TensorFlow2 – Part 3 Merge and Split tf.concat tf.concat helps us perform concatenation operations. Format: tf.concat( values, axis, name='concat' ) Parameters: values: a tensor or tensor list – axis: the dimension to operate on – name: the name of the operation, defaults to “concat” Example: part_1 = tf.zeros([5, 3]) print(part_1) part_2 … Read more
Author: Arjun Sarkar Translator: Chen Zhiyan Proofreader: Ouyang Jin This article is about 1900 words, and is recommended for an 8minute read. This article will teach you how to write custom loss functions using wrapper functions and OOP in Python. Tags: TensorFlow 2, Loss Function Figure 1: Gradient Descent Algorithm (Source: Public Domain, https://commons.wikimedia.org/w/index.php?curid=521422) Neural … Read more
LearnExcelTechnology, Follow WeChat Official Account: excelperfect Introduction: Here I record the issues encountered while installing TensorFlow and their solutions, so that I can refer back to them later and for the reference of friends facing similar problems. Recently, I have been focusing on studying Deep Learning Illustrated. When I reached Chapter 8, I tried to … Read more
Click the above “Mechanical and Electronic Engineering Technology” to follow us The MNIST (Modified National Institute of Standards and Technology) dataset is a classic dataset for handwritten digit recognition, widely used in the fields of machine learning and deep learning. It was created by the National Institute of Standards and Technology (NIST) in the United … Read more
Click the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavyweight content delivered promptly Introduction In this article, we will gradually introduce how to easily build your own real-time object detection application using TensorFlow (TF) new Object Detection API and OpenCV in Python 3. Below is the running application: Purpose and Motivation Google … Read more
Installing TensorFlow on Windows Installing Python First, you need to install Python on your Windows system. It is recommended to use the official Python distribution, which is Anaconda, as it comes with many scientific computing libraries, such as numpy and scipy, which are also used in TensorFlow. You can download and install Anaconda from the … Read more