
深度学习
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caffe2官网教程学习(一)—— MNIST - 从头开始创建CNN
来源地址:https://caffe2.ai/docs/tutorial-MNIST.html1.导入necessities%matplotlib inlinefrom matplotlib import pyplotimport numpy as npimport osimport shutilimport caffe2.python.predictor.predictor_expor...原创 2018-05-01 22:03:57 · 499 阅读 · 0 评论 -
神经网络与深度学习 任务 —— 1 python基础
Python Basics with Numpy (optional assignment)Welcome to your first assignment. This exercise gives you a brief introduction to Python. Even if you’ve used Python before, this will help familiarize ...原创 2018-05-14 17:33:49 · 407 阅读 · 0 评论 -
神经网络与深度学习 任务 —— 2 逻辑回归与神经网络模式
Logistic Regression with a Neural Network mindsetWelcome to your first (required) programming assignment! You will build a logistic regression classifier to recognize cats. This assignment will ste...原创 2018-05-14 17:39:03 · 1443 阅读 · 0 评论 -
神经网络与深度学习 任务 —— 3 平面数据分类with单层隐藏层
Planar data classification with one hidden layerWelcome to your week 3 programming assignment. It’s time to build your first neural network, which will have a hidden layer. You will see a big differ...原创 2018-05-14 17:39:38 · 412 阅读 · 0 评论 -
神经网络与深度学习 任务 —— 4 建立自己的神经网络
Building your Deep Neural Network: Step by StepWelcome to your week 4 assignment (part 1 of 2)! You have previously trained a 2-layer Neural Network (with a single hidden layer). This week, you will...原创 2018-05-15 08:54:26 · 327 阅读 · 0 评论 -
caffe2官网教程学习(二)—— 加载预训练模型
来源地址:https://caffe2.ai/docs/tutorial-loading-pre-trained-models.html1.下载模型模型库:https://github.com/caffe2/models#squeezenet为模型名称python -m caffe2.python.models.download -i squeezenet或者用Git克隆git clone h...原创 2018-05-02 09:46:43 · 1261 阅读 · 0 评论 -
caffe2官网教程学习(三)—— 图像预处理
来源:https://github.com/caffe2/tutorials/blob/master/Image_Pre-Processing_Pipeline.ipynbcontentresizingrescalingHWC to CHWRGB to BRGimage prep for Caffe2 ingestionCaffe Prefers CHW OrderH: HeightW: Widt...原创 2018-05-02 11:30:34 · 764 阅读 · 0 评论 -
吴恩达 - 卷积神经网络 学习笔记(一)
转载来源:http://www.cnblogs.com/marsggbo/p/8166487.html DeepLearning.ai学习笔记(四)卷积神经网络 – week1 卷积神经网络基础知识介绍 <div class="postBody"> &...转载 2018-05-02 21:27:54 · 345 阅读 · 0 评论 -
吴恩达 - 神经网络与深度学习 学习笔记
1.结构化数据与非结构化数据2.不同规模的深度学习3. Logistic回归4.logistic回归的代价函数5.梯度下降 6.向量化logistic回归梯度下降7.Python广播,定义向量 8.神经网络9.激活函数Tanh激活函数基本在所有场合都比Sigmoid激活函数表现要好,除非是二类的输出层。线性激活函数几乎不用,除非个例的输出层。10.随机初始化例如W[1] = np.random...原创 2018-04-26 09:33:20 · 350 阅读 · 0 评论 -
吴恩达 - 改善深层神经网络 学习笔记(一)
转载来源:http://www.cnblogs.com/marsggbo/p/7501553.html#autoid-13-0-0 DeepLearning.ai学习笔记(二)改善深层神经网络:超参数调试、正则化以及优化–Week1深度学习的实用层面 <div class=...转载 2018-04-26 16:57:21 · 524 阅读 · 0 评论 -
最新最全caffe2在win10下安装与在vs2015下编译(包括cuda、cmake、anaconda)
安装 Visual Studio 2015安装 CUDA 8.0安装 cuDNN安装 CMAKE安装 Anaconda及Python下载GIT克隆caffe2编译安装caffe2文章主要参考另外两篇博客写的,安装、编译出问题查看这两个博客:https://blog.youkuaiyun.com/qwfzpk/article/details/79112097https://blog.youkuaiyun.com/sin57...原创 2018-04-28 19:31:20 · 5644 阅读 · 16 评论 -
神经网络与深度学习 任务 —— 5 深层神经网络应用:图像分类
Deep Neural Network for Image Classification: ApplicationWhen you finish this, you will have finished the last programming assignment of Week 4, and also the last programming assignment of this cour...原创 2018-05-15 17:29:52 · 327 阅读 · 0 评论