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brief introduction Package Python programs as executable files exe have access to pyinstaller , you can also use Nuitka This article mainly introduces the use of Windows pyinstaller install To avoid packing files that are too large, use the virtual environment control package Install virtual environment management pack under Window ...

In order to define the mathematical expression more conveniently and describe the mathematical model more accurately, TF uses Tensor to represent all data uniformly. In the actual calculation formula, that is, the transformation process of the expression, the data in the expression corresponding to the model is carried by the Tensor. Provide ...

Realization of convolutional neural network by TensorFlow A course introduction 1.1 knowledge points 1. Introduction of convolutional neural network; 2. TensorFlow practices CNN network; II. Course content 2.1 basic introduction of convolutional neural network Convolution neural network is a neural network model constructed by convolution ...

Based on the previous learning, the training of CNN using convolutional neural network has greatly improved the accuracy. The difference from before is that two layers of convolution neural network are added. The full connection layer that was not understood by the previous learning theory is also understood after writing this code. Moreover, d ...

The network programming course is designed to do what you want, with code + experimental report attached. Environment configuration python 3.7.3 pymysql 1.0.2 Tensorflow GPU 2.0.0 (cpu can also be used) numpy 1.19.2 tk 8.6.10 MySQL 8.0.23 Navicat version It's not critical. The environment setting is mainly related to tf code Click to d ...

1, Business background This experiment will use the time depth learning technology to reconstruct the image with super-resolution. The designed technology includes convolution neural network, generation countermeasure network, residual network and so on. 2, Development environment This experiment uses "Microsoft Visual Studio", &qu ...

Preface To understand what generates an antagonistic network, first explain supervised learning and unsupervised learning: Supervised learning: Machine learning based on a large number of labeled training sets and test sets, such as a picture classifier that requires a series of pictures and corresponding labels ("cat", "dog ...

1, References TensorFlow 2.0 - tf.saved_model.save model export Use SavedModel format 2, Related introduction 1. SavedModel format TensorFlow model export In order to deploy the trained machine learning model to each target platform (such as server, mobile terminal, embedded device and browser), our first step is often to export (serialize ...

TensorRT accelerated application ⭐ tensorrtx Download TensorRT is a C + + version of deep learning architecture, which is parallel to tensorflow and pytorch. We want to deploy yolov5 to the development board with TensorRT, which is divided into two steps: 1 Install TensorRT, 2 Rewrite the network trained by each training framework with Tenso ...

Text / Zaid Alyafeai We will create a simple tool to identify the drawing and output the name of the current drawing. This application will run directly on the browser without any installation. We will use Google lab to train the model and tensorflow JS deploy it in the upper part of the browser. [to get TensorFlow js. Video tutorial, pleas ...