From 3a58219e806af0341e0cc8d96e5123ef99421e17 Mon Sep 17 00:00:00 2001 From: bushuhui Date: Thu, 10 Feb 2022 21:40:17 +0800 Subject: [PATCH] Fix some type error --- 7_deep_learning/1_CNN/4-resnet.ipynb | 18 +++++++++------ 7_deep_learning/1_CNN/5-densenet.ipynb | 28 ++++++++++++++--------- 7_deep_learning/1_CNN/6-batch-normalization.ipynb | 2 +- 3 files changed, 29 insertions(+), 19 deletions(-) diff --git a/7_deep_learning/1_CNN/4-resnet.ipynb b/7_deep_learning/1_CNN/4-resnet.ipynb index 779fb3b..df09e12 100644 --- a/7_deep_learning/1_CNN/4-resnet.ipynb +++ b/7_deep_learning/1_CNN/4-resnet.ipynb @@ -47,7 +47,8 @@ "ExecuteTime": { "end_time": "2017-12-22T12:56:06.772059Z", "start_time": "2017-12-22T12:56:06.766027Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ @@ -69,7 +70,8 @@ "ExecuteTime": { "end_time": "2017-12-22T12:47:49.222432Z", "start_time": "2017-12-22T12:47:49.217940Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ @@ -85,7 +87,8 @@ "ExecuteTime": { "end_time": "2017-12-22T13:14:02.429145Z", "start_time": "2017-12-22T13:14:02.383322Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ @@ -203,13 +206,14 @@ "ExecuteTime": { "end_time": "2017-12-22T13:27:46.099404Z", "start_time": "2017-12-22T13:27:45.986235Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ "class ResNet(nn.Module):\n", " def __init__(self, in_channel, num_classes, verbose=False):\n", - " super(resnet, self).__init__()\n", + " super(ResNet, self).__init__()\n", " self.verbose = verbose\n", " \n", " self.block1 = nn.Conv2d(in_channel, 64, 7, 2)\n", @@ -290,7 +294,7 @@ } ], "source": [ - "test_net = resnet(3, 10, True)\n", + "test_net = ResNet(3, 10, True)\n", "test_x = Variable(torch.zeros(1, 3, 96, 96))\n", "test_y = test_net(test_x)\n", "print('output: {}'.format(test_y.shape))" @@ -414,7 +418,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.5.4" } }, "nbformat": 4, diff --git a/7_deep_learning/1_CNN/5-densenet.ipynb b/7_deep_learning/1_CNN/5-densenet.ipynb index 677c119..45bdaec 100644 --- a/7_deep_learning/1_CNN/5-densenet.ipynb +++ b/7_deep_learning/1_CNN/5-densenet.ipynb @@ -45,7 +45,8 @@ "ExecuteTime": { "end_time": "2017-12-22T15:38:31.113030Z", "start_time": "2017-12-22T15:38:30.612922Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ @@ -73,11 +74,12 @@ "ExecuteTime": { "end_time": "2017-12-22T15:38:31.121249Z", "start_time": "2017-12-22T15:38:31.115369Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ - "def conv_block(in_channel, out_channel):\n", + "def Conv_Block(in_channel, out_channel):\n", " layer = nn.Sequential(\n", " nn.BatchNorm2d(in_channel),\n", " nn.ReLU(True),\n", @@ -100,17 +102,18 @@ "ExecuteTime": { "end_time": "2017-12-22T15:38:31.145274Z", "start_time": "2017-12-22T15:38:31.123363Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ - "class dense_block(nn.Module):\n", + "class Dense_Block(nn.Module):\n", " def __init__(self, in_channel, growth_rate, num_layers):\n", - " super(dense_block, self).__init__()\n", + " super(Dense_Block, self).__init__()\n", " block = []\n", " channel = in_channel\n", " for i in range(num_layers):\n", - " block.append(conv_block(channel, growth_rate))\n", + " block.append(Conv_Block(channel, growth_rate))\n", " channel += growth_rate\n", " \n", " self.net = nn.Sequential(*block)\n", @@ -170,7 +173,8 @@ "ExecuteTime": { "end_time": "2017-12-22T15:38:31.222120Z", "start_time": "2017-12-22T15:38:31.215770Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ @@ -234,7 +238,8 @@ "ExecuteTime": { "end_time": "2017-12-22T15:38:31.318822Z", "start_time": "2017-12-22T15:38:31.236857Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ @@ -305,7 +310,8 @@ "ExecuteTime": { "end_time": "2017-12-22T15:38:32.894729Z", "start_time": "2017-12-22T15:38:31.656356Z" - } + }, + "collapsed": true }, "outputs": [], "source": [ @@ -403,7 +409,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.5.4" } }, "nbformat": 4, diff --git a/7_deep_learning/1_CNN/6-batch-normalization.ipynb b/7_deep_learning/1_CNN/6-batch-normalization.ipynb index 62f5b76..61a2f7f 100644 --- a/7_deep_learning/1_CNN/6-batch-normalization.ipynb +++ b/7_deep_learning/1_CNN/6-batch-normalization.ipynb @@ -601,7 +601,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.5.4" } }, "nbformat": 4,