You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
[TensorLayer](https://tensorlayer.readthedocs.io) is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build complex AI models. TensorLayer is awarded the 2017 Best Open Source Software by the [ACM Multimedia Society](https://twitter.com/ImperialDSI/status/923928895325442049).
24
-
TensorLayer can also be found at [iHub](https://code.ihub.org.cn/projects/328) and [Gitee](https://gitee.com/organizations/TensorLayer).
24
+
[TensorLayer](https://tensorlayer.readthedocs.io) is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI models quickly, based on this, the community open-sourced mass [tutorials](https://github.com/tensorlayer/tensorlayer/blob/master/examples/reinforcement_learning/README.md) and [applications](https://github.com/tensorlayer). TensorLayer is awarded the 2017 Best Open Source Software by the [ACM Multimedia Society](https://twitter.com/ImperialDSI/status/923928895325442049).
25
+
This project can also be found at [iHub](https://code.ihub.org.cn/projects/328) and [Gitee](https://gitee.com/organizations/TensorLayer).
25
26
26
27
# News
27
28
28
-
🔥 Reinforcement Learning Model Zoo: [Low-level APIs for Research](https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning)and [High-level APIs for Production](https://github.com/tensorlayer/RLzoo)
29
+
🔥 Reinforcement Learning Zoo: [Low-level APIs](https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning)for professional usage, [High-level APIs](https://github.com/tensorlayer/RLzoo) for simple usage, and a corresponding [Springer textbook](http://springer.com/gp/book/9789811540943)
29
30
30
31
🔥 [Sipeed Maxi-EMC](https://github.com/sipeed/Maix-EMC): Run TensorLayer models on the **low-cost AI chip** (e.g., K210) (Alpha Version)
31
32
32
33
<!-- 🔥 [NNoM](https://github.com/majianjia/nnom): Run TensorLayer quantized models on the **MCU** (e.g., STM32) (Coming Soon) -->
33
34
34
-
🔥 [Free GPU and storage resources](https://github.com/fangde/FreeGPU): TensorLayer users can access to free GPU and storage resources donated by SurgicalAI. Thank you SurgicalAI!
35
-
36
35
# Design Features
37
36
38
37
TensorLayer is a new deep learning library designed with simplicity, flexibility and high-performance in mind.
@@ -145,7 +144,7 @@ The following table shows the training speeds of [VGG16](http://www.robots.ox.ac
145
144
| Mode | Lib | Data Format | Max GPU Memory Usage(MB) |Max CPU Memory Usage(MB) | Avg CPU Memory Usage(MB) | Runtime (sec) |
TensorLayer stands at a unique spot in the library landscape. Other
52
-
wrapper libraries like Keras and TFLearn also provide high-level
53
-
abstractions. They, however, often hide the underlying engine from
54
-
users, which make them hard to customize and fine-tune. On the contrary,
55
-
TensorLayer APIs are generally flexible and transparent. Users often
56
-
find it easy to start with the examples and tutorials, and then dive
57
-
into TensorFlow seamlessly. In addition, TensorLayer does not create
58
-
library lock-in through native supports for importing components from
59
-
Keras, TFSlim and TFLearn.
60
-
61
-
TensorLayer has a fast growing usage among top researchers and
62
-
engineers, from universities like Imperial College London, UC Berkeley,
63
-
Carnegie Mellon University, Stanford University, and University of
64
-
Technology of Compiegne (UTC), and companies like Google, Microsoft,
65
-
Alibaba, Tencent, Xiaomi, and Bloomberg.
20
+
Design Features
21
+
=================
22
+
23
+
TensorLayer is a new deep learning library designed with simplicity, flexibility and high-performance in mind.
24
+
25
+
- **Simplicity** : TensorLayer has a high-level layer/model abstraction which is effortless to learn. You can learn how deep learning can benefit your AI tasks in minutes through the massive [examples](https://github.com/tensorlayer/awesome-tensorlayer).
26
+
- **Flexibility** : TensorLayer APIs are transparent and flexible, inspired by the emerging PyTorch library. Compared to the Keras abstraction, TensorLayer makes it much easier to build and train complex AI models.
27
+
- **Zero-cost Abstraction** : Though simple to use, TensorLayer does not require you to make any compromise in the performance of TensorFlow (Check the following benchmark section for more details).
28
+
29
+
TensorLayer stands at a unique spot in the TensorFlow wrappers. Other wrappers like Keras and TFLearn
30
+
hide many powerful features of TensorFlow and provide little support for writing custom AI models. Inspired by PyTorch, TensorLayer APIs are simple, flexible and Pythonic,
31
+
making it easy to learn while being flexible enough to cope with complex AI tasks.
32
+
TensorLayer has a fast-growing community. It has been used by researchers and engineers all over the world, including those from Peking University,
33
+
Imperial College London, UC Berkeley, Carnegie Mellon University, Stanford University, and companies like Google, Microsoft, Alibaba, Tencent, Xiaomi, and Bloomberg.
0 commit comments