Tensorflow_cputensorflow_gpu for intel processors
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 ...
Posted by kotun on Sat, 30 Oct 2021 04:23:32 +0200
Handwritten numeral recognition based on TensorFlow's Keras advanced API
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 ...
Posted by nemesis.2002 on Thu, 28 Oct 2021 15:00:47 +0200
Image classification project: make your own TFRecord data set, read and display (detailed illustration)
Customize the data set and model, and call the image classification project of pb model compiled by tensorflow with QT and c + + Step 1: This article Step 2: Read the custom TFRecord data set, train the convolution network and save the pb model Step 3: opencv reads the customized pb model, customizes softmax and argmax functions, and ...
Posted by D on Sat, 23 Oct 2021 04:20:01 +0200
UR5 assembly simulation and comparison based on DDPG and TD3
This project is a major assignment of the course "optimal control" taught by Le Xinyi in the fall semester of Shanghai Jiaotong University in 2020. Most of the content is based on the work of senior Fang Xiaomeng, "Research on multi manipulator cooperative control technology based on neural network algorithm". Recently, due ...
Posted by android6011 on Fri, 08 Oct 2021 04:23:45 +0200
Anaconda installs pytoch and Tensorflow
catalogue
Python CPU version installation:
one Anaconda installation:
two Python environment configuration
two point one Configure mirror source
2.2 create a new environment:
2.3 activation environment
2.4. Install pytorch (tensorflow) and corresponding Libraries
2.5 problems
Tensorflow GPU version installation
...
Posted by tech603 on Thu, 07 Oct 2021 22:54:37 +0200
TD3 code implementation
TD3 code implementation
Code and explanation
0. Operating environment
Equipment / packageeditionpython3.7.11Graphics cardGTX 1050CUDA10.2cudnn7.6.5cudatoolkit10.0.130tensorflow-gpu2.2.0tensorlayer2.2.3tensorflow-probability0.9.0
1. Package introduction and parameter setting
import argparse
import os
import random
import time
i ...
Posted by poppy on Wed, 06 Oct 2021 00:29:52 +0200
TensorFlow deep learning: 4.2. Mathematical operation of tensor
Tensor mathematical operations mainly include scalar operations, vector operations and matrix operations. In addition, we will introduce the broadcast mechanism of tensor operation.
1. Scalar operation
The mathematical operators of tensors can be divided into scalar operators, vector operators and matrix operators. Addition, subtraction, ...
Posted by asaschool on Mon, 04 Oct 2021 05:04:55 +0200
Implementation and explanation of simple countermeasure neural network GAN - picture countermeasure
1. The theoretical explanation is clear and easy to understand:
Understand the basic principle of "generating countermeasure network GAN" + 10 typical algorithms + 13 applications (easyai.tech)
2. Code implementation set:
GitHub - eriklindernoren/Keras-GAN: Keras implementations of Generative Adversarial Networks.
3. Here is a bri ...
Posted by funkyres on Tue, 07 Sep 2021 06:34:45 +0200