In the previous article "When wechat Applets meet TensorFlow: Server-side Implementation", we discussed the server-side implementation of wechat applets. Today, I found a problem when...
This is the fifth and final article in a series of articles summarizing the development process of wechat mini program Zhigujun when it meets TensorFlow....
Keyword Spotting is often the user's first impression of the voice interaction experience. It should be accurate and quick. Therefore, hot word detection algorithm should...
Most tutorials on the web are based on distributions such as Ubuntu and Python2.7, and few are based on Windows and Python3.6 (TensorFlow for Windows...
This paper mainly explains two OCR recognition methods based on deep learning and uses CNN to realize end-to-end OCR to realize the identification of the...
TensorFlow is open source machine learning software built by Google to train neural networks. The neural network of TensorFlow is represented as a stateful data...
The previous paper introduced the calculation graph and the implementation of forward propagation. In this paper, we will mainly introduce the backpropagation algorithm, which is...
Machine Learning has become more and more popular in China. In the past, Stanford Associate Professor Andrew Ng recorded a tutorial on Deep Learning Specialization....
I was not satisfied, because I wanted Spring Festival couplets, not couplets. Although the couplets contain Spring Festival couplets, the Spring Festival couplets are filled...
Docker is great -- more and more people are using it for development and distribution. Docker has many advantages: instant environment Settings, platform-independent apps, off-the-shelf...
TensorFlow Hub is a library designed to facilitate the re-exploration and re-publication of reusable parts of machine learning models, primarily reusing pre-trained TensorFlow model fragments...
Set up the deep learning model, and debug the parameters of automatic driving real road simulation parameters. 2. Use ZTH_car_control. py to control the front,...
This is the official classic example of using TensorFlow to recognize handwritten numbers. The data is already processed and ready, but only to calculate the...
In general, common supervised machine learning problems can be divided into two categories: classification and regression. When we use Tensorflow to solve these problems, we...
Many tech giants like IBM, Google, Microsoft, and Amazon now offer easy-to-use visual recognition apis, and even smaller companies like Clarifai have similar apis. In...
DeepMind's open source starcraft ii AI platform, OpenAI AI system beat Dota2's top players...... More and more tech giants are entering the game AI space...
I have two hobbies, one is traditional culture, the other is high-tech. Traditional culture, I like tang and Song poetry, brush and ink danqing, high-tech...