diff --git a/README.md b/README.md
index 3a339dd8b736c24864766869d4e42b804f6f481e..2d908d780f1c3d31dc8a09b68629620e1e80d86b 100644
--- a/README.md
+++ b/README.md
@@ -249,7 +249,7 @@ The application codes that constitute the UEABS are:
 - [QCD](#qcd)
 - [Quantum Espresso](#espresso)
 - [SPECFEM3D](#specfem3d)
-- [TensorFlow](#tensorflow)
+
 
 # ALYA <a name="alya"></a>
 
@@ -482,17 +482,4 @@ QUANTUM ESPRESSO is written mostly in Fortran90, and parallelised using MPI and
 |  [- Website](https://geodynamics.org/cig/software/specfem3d_globe/)  <br>[- Source](https://github.com/geodynamics/specfem3d_globe.git) <br>[- Bench](https://repository.prace-ri.eu/git/UEABS/ueabs/tree/r2.1-dev/specfem3d) <br>[- Summary](https://repository.prace-ri.eu/git/UEABS/ueabs/blob/r2.1-dev/specfem3d/PRACE_UEABS_Specfem3D_summary.pdf) | Geodynamics          | Fortran & C     | yes     | yes        | Yes (CUDA) | 100k Fortran & 20k C  | The software package SPECFEM3D simulates three-dimensional global and regional seismic wave propagation based upon the spectral-element method (SEM). |
 
 
-# TensorFlow <a name="tensorflow"></a>
-
-TensorFlow (https://www.tensorflow.org) is a popular open-source library for symbolic math and linear algebra, with particular optimization for neural-networks-based machine learning workflow. Maintained by Google, it is widely used for research and production in both the academia and the industry.
-
-TensorFlow supports a wide variety of hardware platforms (CPUs, GPUs, TPUs), and can be scaled up to utilize multiple compute devices on a single or multiple compute nodes. The main objective of this benchmark is to profile the scaling behavior of TensorFlow on different hardware, and thereby provide a reference baseline of its performance for different sizes of applications.
-
-There are many open-source datasets available for benchmarking TensorFlow, such as `mnist`, `fashion_mnist`, `cifar`, `imagenet`, and so on. This benchmark suite, however, would like to focus on a scientific research use case. `DeepGalaxy` is a code built with TensorFlow, which uses deep neural network to classify galaxy mergers in the Universe, observed by the Hubble Space Telescope and the Sloan Digital Sky Survey.
 
-- Website: https://www.tensorflow.org/
-- Code download: https://github.com/maxwelltsai/DeepGalaxy
-- [Instruction](tensorflow/README.md)
-- [Test Case A](tensorflow/Testcase_A/)
-- [Test Case B](tensorflow/Testcase_B/)
-- [Test Case C](tensorflow/Testcase_C/)