Tag：tensor

Time：2021728
Author  Orhan g. YAL ç ı nCompile VKSource: towards Data Science If you are reading this article, I believe we have similar interests and will engage in similar industries now / in the future. In this article, we will delve into the details of tensorflow tensor. We will cover all topics related to tensorflow’s […]

Time：2021616
So how do we deal with the data reasonably? We know that the state in Q (s, a) represents the state of the snake. This state includes the position of the apple, the position of the snake, the position of the boundary, the distance between the snake and the boundary, and so on. How to […]

Time：2021219
By Dr. Vaibhav KumarCompile VKSource: analytics in diamag With the successful implementation of deep learning model in various applications, it is time to obtain not only accurate but also faster results. In order to get more accurate results, the size of data is very important, but when this size affects the training time of machine […]

Time：2021214
1. Create the tensor of Python torch.rand ((322424)) # create a random value of 3D tensor with the size of (322424) torch.Tensor ([3,2]) create tensor, [3,2] 2. The conversion between the tensors on CPU and GPU, that is, the tensors created by python b = a.cpu() # GPU → CPU a = b.cuda() #CPU → […]

Time：2021211
preface In Python, if you want to delete the specified row and column in the tendon, you thought you could have a function or assign a line to [] directly. It turns out that it’s not so simple. So you use a curve to save the country. I hope you can point out a more […]

Time：2021128
Tensorflow learning – 1 If life is just like seeing for the first time, what’s the matter with autumn wind. Introduction:Tensorflow basic use, constant / variable, tensorflow 2.0 compatible with tensorflow 1.0. 1、 Code examples 1 import tensorflow as tf 2 3 print(“tensorFlow version is: ” + tf.__version__) 4 5 # create two […]

Time：2021126
All the pytorch features you’ll need for deep learning. From an experimental / research point of view. PyTorchIt has become one of the de facto standards for creating neural networks, and I like its interface. However, it is difficult for beginners to get it. I remember choosing pytorch a few years ago after extensive experiments. […]

Time：2021122
Tensorflow2.0mnist handwritten numeral recognition example When you read, you don’t realize that spring is deep, and every inch of time is golden. Introduction:After training by CNN convolution neural network, handwritten images are recognized, and 0, 1, 2, 4 in MNIST dataset are tested. […]

Time：202111
Author: rising odegua and Stephen oni  source: tensorflow Danfo.js JavaScript is an open source library, which provides highperformance, intuitive and easytouse data structure, and supports the operation and processing of structured data. Danfo.js Inspired by the python pandas library, it provides a similar interface / API. Therefore, users who are familiar with pandas API […]

Time：20201228
thumbnail: https://image.zhangxiann.com/…toc: truedate: 2020/2/5 20:39:20disqusId: zhangxiancategories: PyTorch tags: AI Deep Learning Code of this chapter: https://github.com/zhangxiann/PyTorch_Practice/blob/master/lesson1/tensor_introduce1.py https://github.com/zhangxiann/PyTorch_Practice/blob/master/lesson1/tensor_introduce1.py The concept of tensor Tensor is tensor in Chinese. Tensor means a multidimensional array, which is a highdimensional extension of scalar, vector and matrix. Scalar can be called 0dimensional tensor, vector can be called 1dimensional tensor, matrix can […]

Time：20201212
This paper describes the simple use of Python tensor flow. For your reference, the details are as follows: 1. Basic concepts Tensor stands for tensor, which is a data structure of multidimensional array. Flow stands for flow, which refers to the process of conversion between tensors through calculation. Tensorflow represents the programming process in the […]

Time：2020124
Learn the context of the dataset class, use a clean code structure, and minimize the hassle of managing large amounts of data during training. Neural network training may be difficult to achieve “large scale” in data management. Pytorch has been in my circle recently, and although I’m happy with keras and tensorflow, I still have […]