fix typos in the abstract of the CNTK book.

papers/CNTK-TechReport/lyx/CNTKBook_Abstract.lyx

@@ -1,10 +1,9 @@
-#LyX 2.0 created this file. For more info see http://www.lyx.org/
-\lyxformat 413
+#LyX 2.1 created this file. For more info see http://www.lyx.org/
+\lyxformat 474
 \begin_document
 \begin_header
 \textclass extbook
 \begin_preamble
-\usepackage{amssymb} 
 \usepackage{algorithm}
 \usepackage{algpseudocode}  
 \end_preamble
@@ -18,13 +17,13 @@
 \font_roman default
 \font_sans default
 \font_typewriter default
+\font_math auto
 \font_default_family default
 \use_non_tex_fonts false
 \font_sc false
 \font_osf false
 \font_sf_scale 100
 \font_tt_scale 100
-
 \graphics default
 \default_output_format default
 \output_sync 0
@@ -35,15 +34,24 @@
 \use_hyperref false
 \papersize default
 \use_geometry false
-\use_amsmath 1
-\use_esint 1
-\use_mhchem 1
-\use_mathdots 1
+\use_package amsmath 1
+\use_package amssymb 2
+\use_package cancel 0
+\use_package esint 1
+\use_package mathdots 1
+\use_package mathtools 0
+\use_package mhchem 1
+\use_package stackrel 0
+\use_package stmaryrd 0
+\use_package undertilde 0
 \cite_engine basic
+\cite_engine_type default
+\biblio_style plain
 \use_bibtopic false
 \use_indices false
 \paperorientation portrait
 \suppress_date false
+\justification true
 \use_refstyle 0
 \index Index
 \shortcut idx
@@ -72,9 +80,9 @@ Abstract
 
 \begin_layout Paragraph
 We introduce computational network (CN), a unified framework for describing
- arbitrary learning machines, such as deep neural networks (DNNs), computational
+ arbitrary learning machines, such as deep neural networks (DNNs), convolutional
  neural networks (CNNs), recurrent neural networks (RNNs), long short term
- memory (LSTM), logistic regression, and matrixum entropy model, that can
+ memory (LSTM), logistic regression, and maximum entropy model, that can
  be illustrated as a series of computational steps.
  A CN is a directed graph in which each leaf node represents an input value
  or a parameter and each non-leaf node represents a matrix operation upon