Programmer Think

1, Foreword DRQN comes from a paper in 2015. It is an early algorithm, and the content is easy to understand. It is to combine the traditional DQN with LSTM to make the agent have the function of memory, and finally achieved good results. It performs better than DQN in POMDP environment. Before reading this article, it is assumed that you alr ...

Hello, I'm a graduate student from the ECG group of Hebei University. This article is my understanding and sharing of mnist recognition learning. This paper is mainly used to give a guide to students who want to build a network with keras to identify mnist. Please correct any mistakes I will accept it with an open mind The first is the inst ...

Today, let's test the softmax image classification problem !!!!! I omitted the part of the animation display about the calculation accuracy torchvision.transforms is an image preprocessing package in pytorch, which contains many functions to transform image data, which are essential in the step of image data reading torchvision.transforms.Co ...

The increasing popularity of cars not only brings great convenience to people, but also leads to congested traffic conditions and more frequent traffic accidents. Intelligent transportation technology has become an important force to promote the development of modern transportation technology. Intelligent transportation can not only provide rea ...

Original link: http://tecdat.cn/?p=24191In this article, I will focus on an example of the inference probability given a short data sequence. I will first introduce the theory of how to use Bayesian method for expectation reasoning, and then implement the theory in Python so that we can deal with these ideas. In order to make the article easier ...

In depth learning, there are several commonly used diagrams: diagramDot graphdisplay picture 1 installation They are usually self-contained, such as conda software. If not, what about desktop installation? If it is already installed, you can skip it. 1. Open the console (win+R) - > Enter cmd 2. Enter the following command pip insta ...

Let's practice, using the convolution basis of VGG16 network trained on ImageNet to extract interesting features from cat and dog images, and then train a cat and dog classifier on these features. VGG16 and other models are built into Keras. You can import from the Keras. Applications module. The following are some image classification models i ...

When I installed tensorflow, I checked many articles, but none of them were particularly specific. This article is to draw on the strengths of others and summarize it according to its own installation process. Follow this article to install tensorflow 2.0 perfectly* Tensorflow is divided into__ Cpu__ And__ Gpu__ Version 2.0 or above, which gre ...

preface For this project, I also happened to see a SVE Pana explaining this at station B, knocking the code with his video and learning it. And write a note here, and also provide you with code, ha ha ha. 1, Keras? 1.Keras introduction Keras is a deep learning framework based on theano/tensorflow written in pure python. Keras is a high-leve ...

Deep learning pytoch (IV) -- image classifier 1, Introduction Typically, when processing image, text, voice, or video data, you can use standard Python to load the data into the numpy array format, and then convert the array to torch.*Tensor For images, you can use pilot and OpenCVFor voice, you can use scipy, librosaFor text, you can di ...