The simplest implementation of neural network DNN with TensorFlow (iris and mnist data sets) - Code World

The simplest implementation of neural network DNN with TensorFlow (iris and mnist data sets)

Enterprise 2023-04-10 02:20:06 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/weixin_45116099/article/details/127707196

The simplest implementation of neural network DNN with TensorFlow (iris and mnist data sets)

Tensorflow easily solve network problems or keras not download data sets MNIST

Pytorch build convolutional neural network CNN RNN Recurrent Neural Networks and prediction data sets on the GPU MNIST

One of the simplest neural network implementation process

Ubuntu deep learning uses TensorFlow convolutional neural network - the production of image data sets and the use of prepared data sets

deep_learning_LSTM short and long term memory neural network processing data sets Mnist

tensorflow (5) neural network implements mnist classification

Exploring the neural network algorithm in Tensorflow2 - based on the Mnist data set (1)

(Thesis plus source code) Two-class EEG emotion recognition based on DEAP and MABHOB data sets (pytorch deep neural network (DNN) and convolutional neural network (CNN))

(Thesis plus source code) Code analysis of two-class EEG emotion recognition (pytorch deep neural network (DNN) and convolutional neural network (CNN)) based on DEAP and MABHOB data sets

Train your own dnn neural network based on Tensorflow

Neural Network DNN - Optimization

Lecture 1: Neural network calculation: Two-layer neural network is used to distinguish iris types in tensorflow

Tensorflow based on convolutional neural network realizes MNIST recognition

The tensorflow implementation of VGGNet of the classic convolutional neural network - Tensorflow actual combat

Neural network recognition (b) DNN

TensorFlow2.0 study notes 1.5: Neural network to achieve iris classification

Efficient deep neural network (DNN) analysis and programming implementation based on interleaved group convolution

Classic convolutional neural network Python, TensorFlow full code implementation

Tensorflow⑦——Recurrent neural network usage method and API implementation

Download and use data sets MNIST

Tensorflow Mnist data set

02 to obtain data sets and processing (iris)

python learning ---- iris classification (neural network algorithm)

Python iris classification based on BP neural network

Construction of classification model with TensorFlow2.0 classifying data sets fashion_mnist

Machine learning data sets used mnist error No module named 'tensorflow.examples.tutorials' solution

TensorFlow(3) Simple version of MNIST dataset classification (neural network: one input layer, one output layer)

Detection and recognition of MNIST dataset based on BP neural network (Pytorch, Tensorflow version)

The Backpropagation Principle and Derivation of Deep Neural Network DNN

Recommended

Ranking

【运动控制】直流电机的建模与位置控制和力控制

9.1 Reporting

The C ++ 11 shared_ptr smart pointer

CSS imitation Taobao Home navigation bar layout effects

Correctly implement ether transfers

Spring MVC学习(2)—Spring MVC中容器的层次结构以及父子容器的概念

Practical method VScode software, Linux systems use a script to perform the python

linux localtime_r()获取的时间比实际时间差八个小时

: The method of Android programming to operate the mobile phone call record

Frp internal network penetrates external network remote desktop and ssh to connect to campus network server

Daily

More

2025-03-24(0)

2025-03-23(0)

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)