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@@ -33,7 +33,4 @@ However, the best accuracy was provided by a pre-trained model, developed by the
 Inception V3 model has 48 deep layers, consisting of convolution layers, pooling layers, global average pooling layers, concatenation layers, auxiliary layers, dropout layers and regularizers like softmax.
 Inception Networks have proved to be more computationally efficient, both in terms of the number of parameters generated by the network and the economical cost incurred (memory and other resources).
-## Links to the GitHub repo
-- Project : https://github.com/Lewy09-Tm25/Cotton-crop-identification-system


33	Inception V3 model has 48 deep layers, consisting of convolution layers, pooling layers, global average pooling layers, concatenation layers, auxiliary layers, dropout layers and regularizers like softmax.
34	Inception Networks have proved to be more computationally efficient, both in terms of the number of parameters generated by the network and the economical cost incurred (memory and other resources).
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