Tag: The neural network

Artificial intelligence (ai)

DeepMind proposes relational deep reinforcement learning: Achieving optimal levels in StarCraft II missions

February 7, 2024

by Tushar Sunder

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DeepMind has not published further research on starCraft AI since it opened its AI research environment SC2LE with Blizzard in July last year. The company...

TensorFlow Tutorial #02 – Convolutional Neural Networks

February 7, 2024

by Douglas Perez

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01 - simple linear model by Magnus Erik Hvass Pedersen/GitHub/Videos on YouTube 英文翻译 Introduction Previous tutorials show a simple linear model for MNIST numbers...

TensorFlow Tutorial #04 – Save & Restore

February 7, 2024

by Brett O'Connor

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This article mainly introduces how to save and restore neural network variables and the early-stopping optimization strategy. There is a large section of text and...

TensorFlow Tutorial #05 – Integrated Learning

February 7, 2024

by Nicole Jones

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This article will introduce the ensemble of neural networks. There is a large section of text and code from the previous tutorial, if you have...

Artificial intelligence (ai)

Coursera Deep Learning 1 Neural Networks and Deep Learning

February 7, 2024

by Rebecca O'Brien

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The tanh activation usually works better than sigmoid activation function for hidden units because the mean of its Output is closer to zero...

Artificial intelligence (ai)

Zhou Zhihua et al. proposed the interpretable method of RNN. What is done inside RNN

February 7, 2024

by Donald Morris

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Selected from ArXiv by Bo-Jian Hou, Zhi-Hua Zhou, Compiled by The Heart of Machine, Siyuan, Xiao Kun. The main task of Structure learning is to...

Exploration of machine learning in video codec

February 7, 2024

by Brent Carroll

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As we all know, in terms of technical complexity, video encoding and decoding is not symmetrical, encoder is much more complex than decoder. So what...

TensorFlow Tutorial #09 – Video Data

February 7, 2024

by 李家瑋

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This article mainly demonstrates how to create a classifier using your own image data. 01 - | a simple linear model 02 - convolution neural...

TensorFlow tutorial – 07 Inception Model

February 7, 2024

by Shray Uppal

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This article mainly demonstrates how to use the Inception V3 model for image recognition. 01 - a simple linear model | 02 - convolution neural...

TensorFlow Tutorial #03 – PrettyTensor

February 7, 2024

by Kerry Rees

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This is about PrettyTensor, which you use to build neural networks very quickly. Of course, the original was written in '16, and now there are...

Artificial intelligence (ai)

Keras Deep learning — Detailed explanation of common loss functions in deep learning

February 7, 2024

by 司懿

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The loss function is used to calculate the loss value, and the model can update each parameter through back propagation. By reducing the loss between...

Artificial intelligence (ai)

The first in our series on deep learning: Getting Started

February 6, 2024

by Brett Murray

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This article is a study of artificial intelligence notes, first of all, ask the following question. As can be seen from the figure, the concept...

Artificial intelligence (ai)

Deep learning classic network Model summary 3 — GoogleNet

February 6, 2024

by Jayan Chandran

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Make writing a habit together! This is the 15th day of my participation in the "Gold Digging Day New Plan · April More text Challenge"....

Artificial intelligence (ai)

Deep learning tutorial | basis neural network

February 6, 2024

by 崔淑華

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This section introduces the basis of neural network -- logistic regression, through the analysis of the structure of logistic regression model, transition to the subsequent...

Artificial intelligence (ai)

Keras Deep Learning — Influence of input value distribution on neural network Model performance

February 6, 2024

by Barry Harris

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Different distributions of input values can change the training speed. In this section, we'll learn how to train weights faster by modifying input values to...

How does deep learning get started?

February 6, 2024

by Ella Harrison

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If you have an engineering background in mathematics and computer science or coding experience with related knowledge, it only takes two months to become proficient...

TensorFlow series (11) : Application and Attention Model of RNN

February 6, 2024

by Darren Hodgson

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At present, recurrent neural networks have been applied in many fields, such as speech recognition (ASR), speech synthesis (TTS), chatbot, machine translation, etc. In recent...

Artificial intelligence (ai)

Initial experience of constructing neural networks using Keras

February 6, 2024

by Christopher Foster

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We have learned the foundation of neural network construction and the training process of neural network. In this section, we will build neural networks using...

Artificial intelligence (ai)

Summary of classical deep learning network models 2 — VGGNet

February 6, 2024

by Jessica Elliott

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Make writing a habit together! This is the 12th day of my participation in the "Gold Digging Day New Plan · April More text Challenge"....

Artificial intelligence (ai)

Automatic differentiation and back propagation in neural networks

February 6, 2024

by 劉家瑜

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If there is a problem with the formula or picture display, please check the original text. Chain rule: The partial derivative of a path is...

Artificial intelligence (ai)

Learn neural network back propagation from scratch

February 6, 2024

by Robert Farrell

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Back propagation changes each weight in the neural network a little at a time. The change in the weight value will have an impact on...

Introduction to Generating adversarial Networks (includes TensorFlow code examples)

February 6, 2024

by Katherine Walton

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Some introduction to generative adversarial networks.

Eight essential neural network architectures for machine learning

February 6, 2024

by Ellen Christensen

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Classification and historical development of eight neural network architectures for machine learning.

Artificial intelligence (ai)

Vernacular Machine Learning – Recurrent Neural Network RNN

February 6, 2024

by Arnav Mane

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In the context of "sequential data - a series of interdependent data streams", RNN is used. Typical sequence data: text content in an article audio...

Simple deep learning framework Keras code parsing and application

February 6, 2024

by Kenneth Bruce

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The language briefly explains the installation and use of keras framework.

Tensorflow is used to build deep network classifier

February 6, 2024

by Anahita Dua

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The classification of Iris data sets is mainly based on official documents. Using tf. Contrib. Learn. Tf. Contrib. Learn fast to build a deep web...

Artificial intelligence (ai)

Exponentially accelerated architecture search: CMU proposes a differentiable architecture search method based on gradient descent

February 6, 2024

by Joshua Collins

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Adapted from arXiv by Hanxiao Liu, Karen Simonyan and Yiming Yang. According to the researchers, this method has been proven to achieve industry-best results on...

Artificial intelligence (ai)

Introduction | machine learning researchers will know eight neural network architecture

February 6, 2024

by Krystal Mason-Duncan

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This paper briefly describes the historical development of the core structures of machine learning, and summarizes eight neural network architectures that researchers need to be...

Artificial intelligence (ai)

Neural tensor networks: Exploring relationships between text entities

February 6, 2024

by Mr. Michael Franklin II

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In this article, I will introduce neural tensor networks (NTN) as described in Reasoning with a Knowledge base based on neural tensor networks. My NTN...

Artificial intelligence (ai)

Neural network parameters -warmup and decay

February 6, 2024

by Ojas Garg

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Welcome to visit personal blog: https://jmxgodlz.xyz Foreword This article will introduce neural network tuning techniques: Warmup, Decay. Back propagation mainly updates parameters