doc(README): fix typo

README.md

@@ -42,7 +42,7 @@ The novel features of Inference-Engine include
 2. Gathering network weights and biases into contiguous arrays
 3. Runtime selection of inferences strategy and activation strategy. 
 
-Item 1 facilitates invoking Inference-Engine's `infer` function inside Fortran's `do concurrent` constructs, which some compilers can offload automatically to graphics processing units (GPUs).  We envision this being useful in applications that require large numbers of independent inferences or networks to to train.  Item 2 exploits the special case where the number of neurons is uniform across the network layers.  The use of contiguous arrays facilitates spatial locality in memory access patterns.  Item 3 offers the possibility of adaptive inference method selection based on runtime information.  The current methods include ones based on intrinsic functions, `dot_product` or `matmul`.  Future options will explore the use of OpenMP and OpenACC for vectorization, multithreading, and/or accelerator offloading.
+Item 1 facilitates invoking Inference-Engine's `infer` function inside Fortran's `do concurrent` constructs, which some compilers can offload automatically to graphics processing units (GPUs).  We envision this being useful in applications that require large numbers of independent inferences or or multiple networks to train concurrently.  Item 2 exploits the special case where the number of neurons is uniform across the network layers.  The use of contiguous arrays facilitates spatial locality in memory access patterns.  Item 3 offers the possibility of adaptive inference method selection based on runtime information.  The current methods include ones based on intrinsic functions, `dot_product` or `matmul`.  Future options will explore the use of OpenMP and OpenACC for vectorization, multithreading, and/or accelerator offloading.
 
 Downloading, Building and Testing
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