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Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) Parallel practice of ResNet model on GPU TensorFlow distributed training: single machine multi card training MirroredStrategy, multi machine training MultiWorkerMirroredStrategy Parallel practice of ResNet model on GPU Learning o ...

In this paper, we will use the deep learning method (LSTM) to perform multivariate time series prediction.Let's start with two topics——What is time series analysis?What is LSTM?Time series analysis: time series represent a series of data based on time sequence. It can be seconds, minutes, hours, days, weeks, months and years. Future ...

1. Tensor data type TensorFlow is not so mysterious. In order to adapt to automatic derivation and GPU operation, it came into being. In order to fit with the core data type ndarray of numpy, the core data type is Tensor, which means Tensor in Chinese (generally, it is mathematically divided into scalar, one-dimensional vector and two-dime ...

reference resources: Reference 1；Reference 2 Generally speaking, the common supervised machine learning problems are mainly divided into two categories: classification and regression. When we use Tensorflow to solve these problems, we need to build our own network, but Tensorflow APIs at different levels also produce different model building ...

TensorFlow implements multiple input multiple output model Sometimes we have more than one input data, and there will be multiple input sources and multiple output sources. In this case, we obviously can't use Sequential, because Sequential can only build linear topology model, which is more suitable for pipeline model. If it is nonlinear to ...

Firstly, this paper analyzes the process of deep learning, abstracts the key components in neural network, and determines the basic framework; Then code the components in the framework; Finally, based on this framework, an example of MNIST classification is implemented and compared with Tensorflow. If you like this article, please like, collect ...

1. Introduction    the name of googlenet is not googlenet, but googlenet. This is to pay tribute to LeNet. Googlenet and AlexNet/VGGNet, which rely on deepening the depth of the network structure, are not exactly the same. Googlenet makes structural innovation while adding depth, and introduces a structure called Inception to replace ...

Making image segmentation label data using labelme in Win10 system preface This paper mainly introduces how to use labelme to make semantic segmented label data, and convert the generated json files into usable image labels in batch through code. 1, Install labelme3 sixteen point two 1. Install Anaconda (ignore this step if you hav ...

Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) 4.6 TF common function modules 4.6. 1. Detailed explanation of callback of fit Callbacks are a set of functions that are applied at a given stage of the training process. Callbacks can be used to obtain views of internal status a ...

Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) 4.5 Keras Pipline and custom model The Subclassing API of keras is used to establish the model, that is, TF keras. The model class is extended to define its own new model, and the process of training and evaluating the model is wr ...