small revisions to code examples

Author: aladdinpersson

ML/Pytorch/Basics/pytorch_rnn_gru_lstm.py

@@ -130,6 +130,7 @@ def forward(self, x):
  # gradient descent update step/adam step
  optimizer.step()
 
+
 # Check accuracy on training & test to see how good our model
 def check_accuracy(loader, model):
  num_correct = 0

ML/Pytorch/Basics/pytorch_simple_CNN.py

@@ -94,6 +94,7 @@ def forward(self, x):
  # gradient descent or adam step
  optimizer.step()
 
+
 # Check accuracy on training & test to see how good our model
 def check_accuracy(loader, model):
  num_correct = 0

ML/Pytorch/Basics/pytorch_simple_fullynet.py

@@ -95,7 +95,7 @@ def forward(self, x):
  optimizer.step()
 
 
-# Check accuracy on training & test to see how good our model
+# Check accuracy on training & test to see how good our model is
 def check_accuracy(loader, model):
  num_correct = 0
  num_samples = 0