diff --git a/docs.it4i/anselm/software/machine-learning/introduction.md b/docs.it4i/anselm/software/machine-learning/introduction.md
new file mode 100644
index 0000000000000000000000000000000000000000..49a1e4f0586c94ed44c04ae1ea16f7ed1636e1db
--- /dev/null
+++ b/docs.it4i/anselm/software/machine-learning/introduction.md
@@ -0,0 +1,19 @@
+# Machine Learning
+
+This section overviews machine learning frameworks and libraries available on the Anselm cluster.
+
+## TensorFlow
+
+Load TensorFlow module:
+
+```console
+$ ml Tensorflow
+```
+
+Test module:
+
+```console
+$ ml Tensorflow
+```
+
+Read more about available versions at the [TensorFlow page](tensorflow).
diff --git a/docs.it4i/anselm/software/machine-learning/tensorflow.md b/docs.it4i/anselm/software/machine-learning/tensorflow.md
new file mode 100644
index 0000000000000000000000000000000000000000..b2cb97e7797d62b3e3ffd23ca20f937df5cdd868
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+++ b/docs.it4i/anselm/software/machine-learning/tensorflow.md
@@ -0,0 +1,62 @@
+# TensorFlow
+
+TensorFlow is an open-source software library for machine intelligence.
+
+## TensorFlow modules
+
+Anselm provides three different TensorFlow modules:
+ * Tensorflow/1.1.0
+ * Tensorflow/1.1.0-CUDA-7.5.18-Python-3.6.1
+ * Tensorflow/1.1.0-CUDA-8.0.44-Python-3.6.1
+
+### Tensorflow/1.1.0 (CPU only)
+
+TensorFlow 1.1 build. 
+
+```console
+$ ml Tensorflow/1.1.0
+```
+
+This module was built with:
+ * GCC/4.9.3
+ * Python/3.6.1
+
+### Tensorflow/1.1.0-CUDA-7.5.18-Python-3.6.1 (GPU enabled)
+
+TensorFlow 1.1 with GPU support.
+
+```console
+$ ml Tensorflow/1.1.0-CUDA-7.5.18-Python-3.6.1
+```
+
+This module was built with:
+ * GCC/4.9.3
+ * Python/3.6.1
+ * CUDA/7.5.18
+ * cuDNN/5.1-CUDA-7.5.18
+
+### Tensorflow/1.1.0-CUDA-8.0.44-Python-3.6.1  (GPU enabled)
+
+TensorFlow 1.1 with GPU support.
+
+```console
+$ ml Tensorflow/1.1.0-CUDA-8.0.44-Python-3.6.1
+```
+
+This module was built with:
+ * GCC/4.9.3
+ * Python/3.6.1
+ * CUDA/8.0.44
+ * cuDNN/5.1-CUDA-8.0.44
+
+## TensorFlow application example
+
+After loading one of the available TensorFlow modules, you can check the functionality running the following python script.
+
+```python
+import tensorflow as tf
+
+c = tf.constant('Hello World!')
+sess = tf.Session()
+print(sess.run(c))
+```
diff --git a/docs.it4i/modules-salomon.md b/docs.it4i/modules-salomon.md
index 088097b961c8abe8040eeb929f94bfd84b7ab5ad..55788f5493f8b63ead689ce4f38d03b525bfb66b 100644
--- a/docs.it4i/modules-salomon.md
+++ b/docs.it4i/modules-salomon.md
@@ -199,7 +199,7 @@
 | [spatialindex](https://libspatialindex.github.io/index.html) | The purpose of this library is to provide: * An extensible framework that will support robust spatial indexing methods. * Support for sophisticated spatial queries. Range, point location, nearest neighbor and k-nearest neighbor as well as parametric queries (defined by spatial constraints) should be easy to deploy and run. * Easy to use interfaces for inserting, deleting and updating information. |
 | [SpatiaLite](https://www.gaia-gis.it/fossil/libspatialite/index) | SpatiaLite is an open source library intended to extend the SQLite core to support fully fledged Spatial SQL capabilities. |
 | [tbb](http://software.intel.com/en-us/articles/intel-tbb/) | Intel Threading Building Blocks 4.0 (Intel TBB) is a widely used, award-winning C++ template library for creating reliable, portable, and scalable parallel applications. Use Intel TBB for a simple and rapid way of developing robust task-based parallel applications that scale to available processor cores, are compatible with multiple environments, and are easier to maintain. Intel TBB is the most proficient way to implement future-proof parallel applications that tap into the power and performance of multicore and manycore hardware platforms. |
-| [tensorflow](http://python.org/) | Python is a programming language that lets you work more quickly and integrate your systems more effectively. |
+| [tensorflow](https://www.tensorflow.org/) | Is an open-source software library for machine intelligence |
 | [zlib](http://www.zlib.net/) | zlib is designed to be a free, general-purpose, legally unencumbered -- that is, not covered by any patents -- lossless data-compression library for use on virtually any computer hardware and operating system. |
 
 ## Math
diff --git a/docs.it4i/salomon/software/machine-learning/introduction.md b/docs.it4i/salomon/software/machine-learning/introduction.md
new file mode 100644
index 0000000000000000000000000000000000000000..4c5aba660e41441d4779fcf53cffa09c6b35b1d4
--- /dev/null
+++ b/docs.it4i/salomon/software/machine-learning/introduction.md
@@ -0,0 +1,19 @@
+# Machine Learning
+
+This section overviews machine learning frameworks and libraries available on the Salomon cluster.
+
+## TensorFlow
+
+Load TensorFlow module:
+
+```console
+$ ml Tensorflow
+```
+
+Test module:
+
+```console
+$ ml Tensorflow
+```
+
+Read more about available versions at the [TensorFlow page](tensorflow).
diff --git a/docs.it4i/salomon/software/machine-learning/tensorflow.md b/docs.it4i/salomon/software/machine-learning/tensorflow.md
new file mode 100644
index 0000000000000000000000000000000000000000..271cde01e96c589371482cec853d127c3f170089
--- /dev/null
+++ b/docs.it4i/salomon/software/machine-learning/tensorflow.md
@@ -0,0 +1,60 @@
+# TensorFlow
+
+TensorFlow is an open-source software library for machine intelligence.
+
+## TensorFlow modules
+
+Salomon provides three different TensorFlow modules:
+ * Tensorflow/1.1.0
+ * Tensorflow/1.2.0-GCC-7.1.0-2.28
+ * Tensorflow/1.2.0-intel-2017.05-mkl
+
+### Tensorflow/1.1.0 (not recommended)
+
+TensorFlow 1.1 build.
+
+```console
+$ ml Tensorflow/1.1.0
+```
+
+This module was built with:
+ * GCC/4.9.3
+ * Python/3.6.1
+
+### Tensorflow/1.2.0-GCC-7.1.0-2.28 (default, recommended)
+
+TensorFlow 1.2 with SIMD support. TensorFlow build taking advantage of the Salomon CPU architecture.
+
+```console
+$ ml Tensorflow/1.2.0-GCC-7.1.0-2.28
+```
+
+This module was built with:
+ * GCC/7.1.0-2.28
+ * Python/3.6.1
+ * protobuf/3.2.0-GCC-7.1.0-2.28-Python-3.6.1
+
+### Tensorflow/1.2.0-intel-2017.05-mkl
+
+TensorFlow 1.2 with MKL support.
+
+```console
+$ ml Tensorflow/1.2.0-intel-2017.05-mkl
+```
+
+This module was built with:
+ * icc/2017.4.196-GCC-7.1.0-2.28
+ * Python/3.6.1
+ * protobuf/3.2.0-GCC-7.1.0-2.28-Python-3.6.1
+
+## TensorFlow application example
+
+After loading one of the available TensorFlow modules, you can check the functionality running the following python script.
+
+```python
+import tensorflow as tf
+
+c = tf.constant('Hello World!')
+sess = tf.Session()
+print(sess.run(c))
+```