TenorFlow Tutorial
TensorFlow Tutorial
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TensorFlow Tutorial
- Recommendations for Neural Network Training
- Image Recognition using TensorFlow
- TensorFlow - Forming Graphs
- Gradient Descent Optimization
- TensorFlow - XOR Implementation
- TensorFlow - Optimizers
- Hidden Layers of Perceptron
- Multi-Layer Perceptron Learning
- TensorFlow - Exporting
- TensorFlow - Distributed Computing
- TensorFlow - Keras
- CNN and RNN Difference
- TFLearn and its installation
- TensorFlow - Linear Regression
- Single Layer Perceptron
- TensorFlow - Word Embedding
- TensorBoard Visualization
- Recurrent Neural Networks
- Convolutional Neural Networks
- TensorFlow - Basics
TensorFlow Useful Resources
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- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
TenorFlow - Home
TensorFlow Tutorial
TensorFlow是面向所有开发商的开放源机学习框架。 它用于实施机器学习和深造应用。 谷歌小组为了开发和研究有关人工情报的启发思想,创建了TensorFlow。 租户 流动是用斯堪的方案拟订语言设计的,因此被认为是一个容易理解的框架。
Audience
编写本教学课程的对象是以各种机器学习和深造学算法为侧重点的小学生。 该研究的目的是描述所有低温物体和方法。
Prerequisites
在进行这一理论之前,你需要掌握任何沙尔语的基本知识。 对人工情报概念的了解将是一个加点。
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