Hands-On Machine Learning with Auto-Keras

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2:40:12

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1-Getting Started with Auto-Keras

01-The Course Overview.mp4

05:58

02-The Need for Auto-Keras.mp4

02:29

03-Installing Auto-Keras.mp4

04:12

04-The MNIST Data Set.mp4

07:52

05-An Auto-Keras Classifier for MNIST.mp4

05:58

06-Making Predictions on Our Own Data.mp4

06:29

2-Artificial Neural Network Models

07-ANN Generation.mp4

05:06

08-ANN Classifier for Identifying Handwritten Digits.mp4

09:22

09-ANN Model for Predicting House Prices.mp4

06:52

10-Visualizing the Best ANN.mp4

04:49

11-Exploring More Data Sets.mp4

07:27

3-Convolutional Neural Network Models

12-CNN Generation.mp4

03:32

13-CNN Classifiers for Identifying Handwritten Digits.mp4

05:51

14-CNN Classifiers for Identifying Other Objects.mp4

04:25

15-CNN Regressor for MNIST.mp4

04:08

16-Visualizing the Best CNN.mp4

03:13

4-Text Classification and Regression

17-Text-Based Tasks.mp4

03:01

18-Text Classification for Reuters News.mp4

08:15

19-Text Classification for Spam Filtering.mp4

04:21

20-Text Regression on a Real-World Data Set.mp4

04:47

21-Generating Our Own Data Set.mp4

04:11

5-Sentiment Analysis

22-Sentiment Analysis Basics.mp4

02:47

23-Auto-Keras Pretrained Models for Sentiment Analysis on a Real-World Data Set.mp4

04:57

24-The Pretrained Models on Some of Our Own Data.mp4

04:18

25-Auto-Keras Classifier for Sentiment Analysis.mp4

02:07

26-Auto-Keras Regressor for Sentiment Analysis.mp4

04:04

6-Object Detection

27-Object Detection Basics.mp4

02:10

28-Using Auto-Keras Pretrained Models for Object Detection.mp4

04:39

29-Building Our Own Data Set for Use with the Pretrained Model.mp4

07:40

30-Deploying a Model.mp4

02:45

7-Topic Classification

31-Basics of Topic Classification.mp4

01:34

32-Using Auto-Keras Pretrained Models for Topic Classification.mp4

03:02

33-Building Our Own Dataset for Use with the Pretrained Model.mp4

04:20

34-Our Own Auto-Keras Model for Topic Classification.mp4

03:31

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Machine Learning

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