目录 第二课第三周:TensorFlow Introduction Introduction to TensorFlow 1 - Packages 1.1 - Checking TensorFlow Version 2 - Basic Optimization with GradientTape 2.1 - Linear Function Exercise 1 - linear_function 2.2 - Computing the Sigmoid Exercise 2 - sigmoid 2…
Datasets and Estimators are two key TensorFlow features you should use: Datasets: The best practice way of creating input pipelines (that is, reading data into your program). Estimators: A high-level way to create TensorFlow models. Estimators includ…
在自然语言处理中,主要使用一维的卷积. API tf.layers.conv1d( inputs, filters, kernel_size, strides=1, padding='valid', data_format='channels_last', dilation_rate=1, activation=None, use_bias=True, kernel_initializer=None, bias_initializer=tf.zeros_initializer(), kernel…
前言 今天记录一下深度学习的另外一个入门项目——<mnist数据集手写数字识别>,这是一个入门必备的学习案例,主要使用了tensorflow下的keras网络结构的Sequential模型,常用层的Dense全连接层.Activation激活层和Reshape层.还有其他方法训练手写数字识别模型,可以基于pytorch实现的,<Pytorch实现基于卷积神经网络的面部表情识别(详细步骤)> 这篇就是基于pytorch实现,pytorch里也封装了mnist的数据集,实现方法应该类似…
Lecture note 1: Introduction to TensorFlow Why TensorFlow TensorFlow was originally created by researchers at Google as a single infrastructure for machine learning in both production and research. Later, an implementation of it was open sourced unde…
Windows安装anaconda 和 TensorFlow anaconda : https://zhuanlan.zhihu.com/p/25198543        anaconda 使用与说明:http://python.jobbole.com/86236/  TensorFlow:https://zhuanlan.zhihu.com/p/24055668 安装过程中,需要升级pip C:\Windows\system32>python -m pip install --upgrade…
Awesome-TensorFlow-Chinese TensorFlow 中文资源全集,学习路径推荐: 官方网站,初步了解. 安装教程,安装之后跑起来. 入门教程,简单的模型学习和运行. 实战项目,根据自己的需求进行开发. 很多内容下面这个英文项目: Inspired by https://github.com/jtoy/awesome-tensorflow 官方网站 官网:https://www.tensorflow.org/ 中文:https://tensorflow.google.cn/…
Awesome TensorFlow  A curated list of awesome TensorFlow experiments, libraries, and projects. Inspired by awesome-machine-learning. What is TensorFlow? TensorFlow is an open source software library for numerical computation using data flow graphs. I…
Awesome-TensorFlow-Chinese TensorFlow 中文资源全集,学习路径推荐: 官方网站,初步了解. 安装教程,安装之后跑起来. 入门教程,简单的模型学习和运行. 实战项目,根据自己的需求进行开发. 很多内容下面这个英文项目: Inspired by https://github.com/jtoy/awesome-tensorflow 官方网站 官网:https://www.tensorflow.org/ 中文:https://tensorflow.google.cn/…
基本回归 回归(Regression):https://www.tensorflow.org/tutorials/keras/basic_regression 主要步骤:数据部分 获取数据(Get the data) 清洗数据(Clean the data) 划分训练集和测试集(Split the data into train and test) 检查数据(Inspect the data) 分离标签(Split features from labels) 规范化数据(Normalize th…