腾讯云开发者社区-腾讯云

开发者社区

文档建议反馈控制台

最新优惠活动

文章/答案/技术大牛

发布

深度学习框架

专栏作者

32

文章

13064

阅读量

12

订阅数

Tensorflow Lite Model Maker --- 图像分类篇+源码

tensorflow 图像识别

The TensorFlow Lite Model Maker library simplifies the process of adapting and converting a TensorFlow neural-network model to particular input data when deploying this model for on-device ML applications. 解读: 此处我们想要得到的是 .tflite 格式的模型，用于在移动端或者嵌入式设备上进行部署

2021-10-10

1.1K0

图像之场景分类实验研究

pytorch 卷积神经网络图像识别深度学习人工智能

最后一起看下训练的结果日志，如下图所示，可以看到 testAcc = 93.86%，此处用的是双卡 2080Ti，比单卡来说，训练的 batch_size 更大，所以准确率略微提升:

2021-09-01

4420

图像分类-cifar100 实验研究

tensorflow 人工智能图像识别卷积神经网络 keras

为了解决 cifar100 val_acc 过低的问题，本质上是过拟合问题，所以特地去 papers with code 网站上看了下 cifar100 benchmark 目前第一名做到了多少，如下图所示，val_cc = 0.96，有点东西哈，所以目前要做的是研究 SAM (Sharpness-Aware Minimization)，主要用于提升模型的泛化性。

2021-08-25

1.3K0

图像分类-flower_photos 实验研究

tensorflow 卷积神经网络图像识别人工智能

flower_photos 数据量比较小，所以 simple_cnn 可以在 trainset 上拟合到 0.99，意思就是数据复杂度 < 模型复杂度

2021-08-22

5240

Tensorflow随笔(三)

tensorflow 深度学习卷积神经网络人工智能

上图我们可以发现，对于simple_cnn来说，数据增强有很明显的作用，可以显著提高val_acc，也就是模型的泛化性。

2021-08-10

2150

Tensorflow随笔(二)

tensorflow keras 深度学习人工智能

When training with methods such as tf.GradientTape(), use tf.summary to log the required information.

2021-08-07

3070

Tensorflow API(一)

tensorflow 人工智能深度学习

Return a list of physical devices visible to the host runtime.

2021-08-07

3690

Tensorflow随笔(一)

tensorflow 人工智能深度学习神经网络

In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics like loss and accuracy, visualizing the model graph, projecting embeddings to a lower dimensional space, and much more.

2021-08-07

2240

NLP 服务神经网络人工智能

70 年代以后随着互联网的高速发展，语料库越来越丰富以及硬件更新完善，自然语言处理思潮由理性主义向经验主义过渡，基于统计的方法逐渐代替了基于规则的方法。

2021-08-04

3840

人工智能深度学习神经网络 NLP 服务

本篇介绍深度学习在自然语言处理(NLP)中的应用，从词向量开始，到最新最强大的BERT等预训练模型，梗概性的介绍了深度学习近20年在NLP中的一些重大的进展

2021-08-03

3890

NLP 服务人工智能神经网络

当 AI 在某一个单点任务上的表现接近或者超越人类的时候，就会给行业带来巨大的商机。在视觉分类、检索、匹配、目标检测等各项任务上，随着相关算法越来越准确，业界也开始在大量商业场景中尝试这些技术

2021-08-03

3790

NLP 服务人工智能深度学习

20 世纪50 年代中期到80 年代初期的感知器，20世纪80 年代初期至21世纪初期的专家系统，以及最近十年的深度学习技术，分别是三次热潮的代表性产物

2021-08-03

2750

Convolutional Neural Network (CNN)

tensorflow 图像识别深度学习卷积神经网络

我自己写的代码和该教程略有不一样，有三处改动，第一个地方是用归一化(均值为0，方差为1)代替数值缩放([0, 1])，代替的理由是能提升准确率

2021-08-01

2610

Introduction to the Keras Tuner

The Keras Tuner is a library that helps you pick the optimal set of hyperparameters for your TensorFlow program. The process of selecting the right set of hyperparameters for your machine learning (ML) application is called hyperparameter tuning or hypertuning.

2021-07-31

2560

Text classification with TensorFlow Hub: Movie reviews

This notebook classifies movie reviews as positive or negative using the text of the review. This is an example of binary—or two-class—classification, an important and widely applicable kind of machine learning problem.

2021-07-31

2310

Tensorflow日常随笔(一)

TensorFlow is an end-to-end open source platform for machine learning

2021-07-31

2280

Building deep retrieval models

tensorflow 推荐系统深度学习 NLP 服务

In the featurization tutorial we incorporated multiple features into our models, but the models consist of only an embedding layer. We can add more dense layers to our models to increase their expressive power. In general, deeper models are capable of learning more complex patterns than shallower models. For example, our user model incorporates user ids and timestamps to model user preferences at a point in time. A shallow model (say, a single embedding layer) may only be able to learn the simplest relationships between those features and movies: a given movie is most popular around the time of its release, and a given user generally prefers horror movies to comedies. To capture more complex relationships, such as user preferences evolving over time, we may need a deeper model with multiple stacked dense layers.

2021-07-30

3200

Taking advantage of context features

tensorflow 深度学习推荐系统 NLP 服务

In the featurization tutorial we incorporated multiple features beyond just user and movie identifiers into our models, but we haven't explored whether those features improve model accuracy.

2021-07-30

2110

Using side features: feature preprocessing

tensorflow keras 推荐系统深度学习 NLP 服务

One of the great advantages of using a deep learning framework to build recommender models is the freedom to build rich, flexible feature representations.

2021-07-30

3960

TensorFlow Recommenders: Quickstart

tensorflow 推荐系统 keras 深度学习

In this tutorial, we build a simple matrix factorization model using the MovieLens 100K dataset with TFRS. We can use this model to recommend movies for a given user.

2021-07-30

3720

点击加载更多

社区活动

腾讯技术创作狂欢月

“码”上创作 21 天，分 10000 元奖品池！

Python精品学习库

代码在线跑，知识轻松学

博客搬家 | 分享价值百万资源包

自行/邀约他人一键搬运博客，速成社区影响力并领取好礼

技术创作特训营·精选知识专栏

往期视频·千货材料·成员作品最新动态