【吴恩达团队Tensorflow2.0实践系列课程第二课】卷积神经网络在TensorFlow2.0中的应用

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2020-03-08 11:30:05
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看此教学前请认真看完up的这段话: 1这门课官方只给出了英文字幕,但每节课不到5分钟,重点是jupyter中教学内容 2吴恩达团队前不久推出Tensorflow2.0系列课程在coursera上TF系列热度第一(他们的ML、DL应该都有了解,一直第一),该系列有四门课,大家现在看到的是第二门视觉(还有基础、NLP),看过他们团队或仅听说过的就能知道质量如何,跟着他们准没错。 3视频为辅,练习为主。他们为大家配备了专门的练习资料和阅读材料(jupyter中),我也为大家下载好了。 4关注点赞投币
啥都会一点,啥都不精通,算法工程师。公众号:啥都会一点的研究生
视频选集
(1/27)
0 Introduction, A conversation with Andrew Ng
04:14
1.1A conversation with Andrew Ng
01:21
1.2 Training with the cats vs. dogs dataset
02:52
1.3 Working through the notebook
04:51
1.4 Fixing through cropping
00:51
1.5 Visualizing the effect of the convolutions
01:42
1.6 Looking at accuracy and loss
01:27
1.7 Week 1 Wrap up
00:34
2.1 A conversation with Andrew Ng
02:40
2.2 Introducing augmentation
02:41
2.3 Coding augmentation with ImageDataGenerator
03:23
2.4 Demonstrating overfitting in cats vs. dogs
01:23
2.5 Adding augmentation to cats vs. dogs
01:23
2.6 Exploring augmentation with horses vs. humans
01:48
2.7 Week 2 Wrap up
00:38
3.1 A conversation with Andrew Ng
03:55
3.2 Understanding transfer learning- the concepts
02:16
3.3 Coding transfer learning from the inception mode
01:27
3.4 Coding your own model with transferred features
02:08
3.5 Exploring dropouts
01:38
3.6 Exploring Transfer Learning with Inception
01:48
3.7 Week 3 Wrap up
00:37
4.1 A conversation with Andrew Ng
03:19
4.2 Moving from binary to multi-class classification
00:45
4.3 Explore multi-class with Rock Paper Scissors dataset
02:21
4.4 Train a classifier with Rock Paper Scissors
01:59
4.5 Test the Rock Paper Scissors classifier
02:39
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