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深度学习框架

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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

2170

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

3090

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

3700

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

2250

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

2630

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

2330

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

Tensorflow serving with docker

tensorflow 容器镜像服务

如上图所示，执行 pull 之后，我们看到本地已经存在 tensorflow/serving:latest

2021-07-29

3270

花朵分类(一)

tensorflow 图像识别 keras

首先我们来介绍下数据集，该数据集有5种花，一共有3670张图片，分别是daisy、dandelion、roses、sunflowers、tulips，数据存放结构如下所示

2021-07-29

4330

Load and preprocess images

tensorflow python 深度学习

This tutorial shows how to load and preprocess an image dataset in three ways. First, you will use high-level Keras preprocessing utilities and layers to read a directory of images on disk. Next, you will write your own input pipeline from scratch using tf.data. Finally, you will download a dataset from the large catalog available in TensorFlow Datasets.

2021-07-29

6340

Tensorflow小技巧(一)

tensorflow python

To select rows whose column value equals a scalar, some_value, use ==:

2021-07-29

2650

Recommending movies: retrieval

Real-world recommender systems are often composed of two stages:

2021-07-28

4060

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