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
In the previous article, I introduced how to perform data parallelism with multiple GPUs in TensorFlow. In this article, I will discuss how to debug TensorFlow models. Compared to regular Python code, debugging TensorFlow code can be relatively difficult due to the symbolic nature of TensorFlow. Here, I will introduce some debugging tools included in … Read more
Commonly used image segmentation loss functions include binary cross-entropy, dice coefficient, Tversky, and Focal Loss. Today, I will reproduce the above loss functions in TensorFlow and compare the results. 1. Cross Entropy The cross-entropy loss function compares the predicted class values with the target values on a pixel-by-pixel basis, and then averages the values over … Read more
Follow the public account “ML_NLP” Set as “Starred”, heavy content will be delivered first! Source | Machine Heart “The official documentation is messy, the search function is difficult to use, and the API is hideous…” This is the complaint of many people about the TensorFlow official documentation. But complaints aside, in the industry, you cannot … Read more
This article introduces how to build a simple neural network using Python 3.0 and TensorFlow 2.0 framework for basic image recognition. 1 Import Dataset from tensorflow import keras fashion_mnist = keras.datasets.fashion_mnist #devide the data into training and test: #train 60000 and test 10000 (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data() This code imports the MNIST image … Read more
From ｜jacobbuckman.com Author｜Jacob Buckman Compiled by｜Machine Heart (No Reposting), Xiaoshi Although for most people the development language of TensorFlow is Python, it is not a standard Python library. This neural network framework runs by constructing a “computation graph,” which can be quite confusing for many beginners trying to understand its logic. In this article, Jacob … Read more
Source: Machine Learning Algorithms Python is arguably the sharpest weapon for machine learning; conversely, machine learning provides the power to expand influence and recreate brilliance for Python. The two complement each other to such an extent that whenever machine learning is mentioned, people naturally think of Python. Although this perspective may be somewhat narrow, there … Read more