forked from dding3/analytics-zoo
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmkdocs.yml
111 lines (110 loc) · 5.07 KB
/
mkdocs.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
site_name: Analytics Zoo
theme: null
extra_css: [extra.css]
theme_dir: mkdocs_windmill
repo_name: 'Fork on GitHub '
repo_url: 'https://github.com/intel-analytics/analytics-zoo'
google_analytics: ['UA-125166209-1', 'analytics-zoo.github.io']
extra:
version: latest
article_nav_top: false
article_nav_bottom: false
pages:
- Overview: index.md
- Releases:
- Download: release-download.md
- Documentation: release-docs.md
- User Guide:
- Python:
- Install: PythonUserGuide/install.md
- Run: PythonUserGuide/run.md
- Examples: PythonUserGuide/examples.md
- FAQ: PythonUserGuide/python-faq.md
- Scala:
- Install: ScalaUserGuide/install.md
- Run: ScalaUserGuide/run.md
- Examples: ScalaUserGuide/examples.md
- Programming Guide:
- Pipeline APIs:
- DataFrame and ML Pipeline: ProgrammingGuide/nnframes.md
- Autograd: ProgrammingGuide/autograd.md
- Transfer Learning: ProgrammingGuide/transferlearning.md
- Model Serving: ProgrammingGuide/inference.md
- Distributed Tensoflow on Spark/BigDL: ProgrammingGuide/tensorflow.md
- Feature Engineering:
- Working with Images: ProgrammingGuide/workingwithimages.md
- Working with Texts: ProgrammingGuide/workingwithtexts.md
- Built-in Models:
- Object Detection API: ProgrammingGuide/object-detection.md
- Image Classification API: ProgrammingGuide/image-classification.md
- Text Classification API: ProgrammingGuide/text-classification.md
- Recommendation API: ProgrammingGuide/recommendation.md
- Anomaly Detection API: ProgrammingGuide/anomaly-detection.md
- Text Matching API: ProgrammingGuide/text-matching.md
- Sequence to Sequence API: ProgrammingGuide/seq2seq.md
- Reference Use Cases: ProgrammingGuide/usercases-overview.md
- Run on Google Cloud Dataproc: ProgrammingGuide/run-on-dataproc.md
- White Paper:
- BigDL: wp-bigdl.md
- API Guide:
- Pipeline APIs:
- NNFrames: APIGuide/PipelineAPI/nnframes.md
- Autograd-Math: APIGuide/PipelineAPI/math.md
- Autograd-Variable: APIGuide/PipelineAPI/variable.md
- Net: APIGuide/PipelineAPI/net.md
- Inference: APIGuide/PipelineAPI/inference.md
- Feature Engineering:
- FeatureSet: APIGuide/FeatureEngineering/featureset.md
- Relation: APIGuide/FeatureEngineering/relation.md
- Image: APIGuide/FeatureEngineering/image.md
- Text: APIGuide/FeatureEngineering/text.md
- Models:
- Object Detection: APIGuide/Models/object-detection.md
- Image Classification: APIGuide/Models/image-classification.md
- Text Classification: APIGuide/Models/text-classification.md
- Recommendation: APIGuide/Models/recommendation.md
- Anomaly Detection: APIGuide/Models/anomaly-detection.md
- Text Matching: APIGuide/Models/text-matching.md
- Sequence to Sequence: APIGuide/Models/seq2seq.md
- Keras-Style API Guide:
- Python Guide: KerasStyleAPIGuide/keras-api-python.md
- Scala Guide: KerasStyleAPIGuide/keras-api-scala.md
- Layers:
- Activation: KerasStyleAPIGuide/Layers/activation.md
- Initialization: KerasStyleAPIGuide/Layers/initialization.md
- Core Layers: KerasStyleAPIGuide/Layers/core.md
- Convolutional Layers: KerasStyleAPIGuide/Layers/convolutional.md
- Pooling Layers: KerasStyleAPIGuide/Layers/pooling.md
- Recurrent Layers: KerasStyleAPIGuide/Layers/recurrent.md
- Normalization Layers: KerasStyleAPIGuide/Layers/normalization.md
- Embedding Layers: KerasStyleAPIGuide/Layers/embedding.md
- Dropout Layers: KerasStyleAPIGuide/Layers/dropout.md
- Advanced Activations: KerasStyleAPIGuide/Layers/advanced-activation.md
- Layer Wrappers: KerasStyleAPIGuide/Layers/wrappers.md
- Optimization:
- Train, evaluate or predict a model: KerasStyleAPIGuide/Optimization/training.md
- Optimizers: KerasStyleAPIGuide/Optimization/optimizers.md
- Objectives: KerasStyleAPIGuide/Optimization/objectives.md
#- Keras2-Style API Guide:
# - Python Guide: Keras2StyleAPIGuide/keras-api-python.md
# - Scala Guide: Keras2StyleAPIGuide/keras-api-scala.md
# - Layers:
# - Activation: Keras2StyleAPIGuide/Layers/activation.md
# - Initialization: Keras2StyleAPIGuide/Layers/initialization.md
# - Core Layers: Keras2StyleAPIGuide/Layers/core.md
# - Convolutional Layers: Keras2StyleAPIGuide/Layers/convolutional.md
# - Pooling Layers: Keras2StyleAPIGuide/Layers/pooling.md
# - Merge Layers: Keras2StyleAPIGuide/Layers/merge.md
# - Recurrent Layers: Keras2StyleAPIGuide/Layers/recurrent.md
# - Normalization Layers: Keras2StyleAPIGuide/Layers/normalization.md
# - Embedding Layers: Keras2StyleAPIGuide/Layers/embedding.md
# - Dropout Layers: Keras2StyleAPIGuide/Layers/dropout.md
# - Advanced Activations: Keras2StyleAPIGuide/Layers/advanced-activation.md
# - Layer Wrappers: Keras2StyleAPIGuide/Layers/wrappers.md
# - Optimization:
# - Train, evaluate or predict a model: Keras2StyleAPIGuide/Optimization/training.md
# - Optimizers: Keras2StyleAPIGuide/Optimization/optimizer.md
# - Losses: Keras2StyleAPIGuide/Optimization/loss.md
- Powered by: powered-by.md
- Presentations: presentations.md
- FAQ and Known Issues: known-issues.md