[DOC] Fix doc rendering (apache#3897)

* Update from_source.rst * Update deploy_ssd_gluoncv.py
MarisaKirisame · Sep 5, 2019 · 1d0486d · 1d0486d
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diff --git a/docs/install/from_source.rst b/docs/install/from_source.rst
@@ -61,8 +61,7 @@ The minimal building requirements are
 - A recent c++ compiler supporting C++ 11 (g++-4.8 or higher)
 - CMake 3.5 or higher
 - We highly recommend to build with LLVM to enable all the features.
-- If you want to use CUDA, CUDA toolkit version >= 8.0 is required. If you are upgrading from an older version,
-make sure you purge the older version and reboot after installation.
+- If you want to use CUDA, CUDA toolkit version >= 8.0 is required. If you are upgrading from an older version, make sure you purge the older version and reboot after installation.
 - It is possible to build TVM without the LLVM dependency if you only want to use CUDA/OpenCL
 - If you want to use the NNVM compiler, then LLVM is required
 
@@ -114,8 +113,7 @@ Building on Windows
 ~~~~~~~~~~~~~~~~~~~
 
 TVM support build via MSVC using cmake. The minimum required VS version is **Visual Studio Community 2015 Update 3**.
-In order to generate the VS solution file using cmake,
-make sure you have a recent version of cmake added to your path and then from the TVM directory:
+In order to generate the VS solution file using cmake, make sure you have a recent version of cmake added to your path and then from the TVM directory:
 
 .. code:: bash
 

diff --git a/tutorials/frontend/deploy_ssd_gluoncv.py b/tutorials/frontend/deploy_ssd_gluoncv.py
@@ -38,7 +38,7 @@
 # ------------------------------
 # .. note::
 #
-#   We support compiling SSD on bot CPUs and GPUs now.
+#   We support compiling SSD on both CPUs and GPUs now.
 #
 #   To get best inference performance on CPU, change
 #   target argument according to your device and