-
Notifications
You must be signed in to change notification settings - Fork 5.3k
/
_index.yaml
200 lines (195 loc) · 8.01 KB
/
_index.yaml
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
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
book_path: /overview/_book.yaml
project_path: /overview/_project.yaml
description: <!--no description-->
landing_page:
custom_css_path: /site-assets/css/style.css
nav: left
rows:
- classname:
devsite-landing-row-100
devsite-landing-row-large-headings
items:
- description: >
<p>
TensorFlow 2 focuses on simplicity and ease of use, with updates like
eager execution, intuitive higher-level APIs, and flexible model
building on any platform.
</p>
<p>
Many guides are written as Jupyter notebooks and run directly in
Google Colab—a hosted notebook environment that requires no setup.
Click the <em>Run in Google Colab</em> button.
</p>
- heading: Essential documentation
classname: tfo-landing-page-heading
items:
- classname: tfo-landing-page-card
description: >
<a href="/install"><h3 class="no-link">Install TensorFlow</h3></a>
Install the package or build from source. GPU support for
CUDA®-enabled cards.
path: /install
- classname: tfo-landing-page-card
description: >
<a href="/guide/effective_tf2"><h3 class="no-link">TensorFlow 2</h3></a>
TensorFlow 2 best practices and tools to migrate your code.
path: /guide/effective_tf2
- classname: tfo-landing-page-card
description: >
<a href="/guide/keras/overview"><h3 class="no-link">Keras</h3></a>
Keras is a high-level API that's easier for ML beginners, as well as
researchers.
path: /guide/keras/overview
- items:
- classname: tfo-landing-page-card
description: >
<a href="/guide/eager"><h3 class="no-link">Customization</h3></a>
TensorFlow for research and experimentation. Write custom layers and models, forward pass, and training loops.
path: /guide/eager
- classname: tfo-landing-page-card
description: >
<a href="/guide/data"><h3 class="no-link">Data input pipelines</h3></a>
The <code>tf.data</code> API enables you to build complex input pipelines
from simple, reusable pieces.
path: /guide/data
- classname: tfo-landing-page-card
description: >
<a href="/guide/estimator"><h3 class="no-link">Estimators</h3></a>
A high-level API that represents a complete model, designed for scaling
and asynchronous training.
path: /guide/estimator
- items:
- classname: tfo-landing-page-card
description: >
<a href="/guide/checkpoint"><h3 class="no-link">Save a model</h3></a>
Save a TensorFlow model using checkpoints or the SavedModel format.
path: /guide/checkpoint
- classname: tfo-landing-page-card
description: >
<a href="/guide/distributed_training"><h3 class="no-link">Accelerators</h3></a>
Distribute training across multiple GPUs, multiple machines or TPUs.
path: /guide/distributed_training
- classname: devsite-landing-row-100
items:
- description: >
<h2 class="tfo-landing-page-heading no-link">Libraries and extensions</h2>
Explore <a href="/resources">additional resources</a> to build advanced
models or methods using TensorFlow, and access domain-specific
application packages that extend TensorFlow.
- classname: devsite-landing-row-100
items:
- list:
- description: >
<a href="/tensorboard"><h3 class="tfo-landing-page-heading no-link">TensorBoard</h3></a>
A suite of visualization tools to understand, debug, and optimize
TensorFlow programs.
path: /tensorboard
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/hub"><h3 class="tfo-landing-page-heading no-link">TensorFlow Hub</h3></a>
A library for the publication, discovery, and consumption of reusable
parts of machine learning models.
path: /hub
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/model_optimization"><h3 class="tfo-landing-page-heading no-link">Model Optimization</h3></a>
The TensorFlow Model Optimization Toolkit is a suite of tools for
optimizing ML models for deployment and execution.
path: /model_optimization
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/federated"><h3 class="tfo-landing-page-heading no-link">TensorFlow Federated</h3></a>
A framework for machine learning and other computations on decentralized
data.
path: /federated
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/neural_structured_learning"><h3 class="tfo-landing-page-heading no-link">Neural Structured Learning</h3></a>
A learning paradigm to train neural networks by leveraging structured
signals in addition to feature inputs.
path: /neural_structured_learning
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/graphics"><h3 class="tfo-landing-page-heading no-link">TensorFlow Graphics</h3></a>
A library of computer graphics functionalities ranging from cameras, lights, and materials to renderers.
path: /graphics
icon:
icon_name: chevron_right
foreground: theme
background: grey
- list:
- description: >
<a href="/datasets"><h3 class="tfo-landing-page-heading no-link">Datasets</h3></a>
A collection of datasets ready to use with TensorFlow.
path: /datasets
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/tfx/guide/serving"><h3 class="tfo-landing-page-heading no-link">Serving</h3></a>
A TFX serving system for ML models, designed for high-performance in
production environments.
path: /tfx/guide/serving
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/probability"><h3 class="tfo-landing-page-heading no-link">Probability</h3></a>
TensorFlow Probability is a library for probabilistic reasoning and
statistical analysis.
path: /probability
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/mlir"><h3 class="tfo-landing-page-heading no-link">MLIR</h3></a>
MLIR unifies the infrastructure for high-performance ML models in
TensorFlow.
path: /mlir
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="/xla"><h3 class="tfo-landing-page-heading no-link">XLA</h3></a>
A domain-specific compiler for linear algebra that accelerates
TensorFlow models with potentially no source code changes.
path: /xla
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="https://github.com/tensorflow/addons"><h3 class="tfo-landing-page-heading no-link">SIG Addons</h3></a>
Extra functionality for TensorFlow, maintained by SIG Addons.
path: https://github.com/tensorflow/addons
icon:
icon_name: chevron_right
foreground: theme
background: grey
- description: >
<a href="https://github.com/tensorflow/io"><h3 class="tfo-landing-page-heading no-link">SIG IO</h3></a>
Dataset, streaming, and file system extensions, maintained by SIG IO.
path: https://github.com/tensorflow/io
icon:
icon_name: chevron_right
foreground: theme
background: grey