correcting typos

doc/src/week44/week44.do.txt

@@ -1,5 +1,5 @@
 TITLE: Week 44,  Convolutional Neural Networks (CNN)
-AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
+AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo, Norway
 DATE: October 28-November 1 
 
 
@@ -1131,7 +1131,7 @@ def create_convolutional_neural_network_keras(input_shape, receptive_field,
     model.add(layers.Dense(n_neurons_connected, activation='relu', kernel_regularizer=regularizers.l2(lmbd)))
     model.add(layers.Dense(n_categories, activation='softmax', kernel_regularizer=regularizers.l2(lmbd)))
     
-    sgd = optimizers.SGD(lr=eta)
+    sgd = optimizers.SGD(learning_rate=eta)
     model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
     
     return model
@@ -1294,7 +1294,7 @@ layer with 10 outputs and a softmax activation.
 model.add(layers.Flatten())
 model.add(layers.Dense(64, activation='relu'))
 model.add(layers.Dense(10))
-Here's the complete architecture of our model.
+# Here's the complete architecture of our model
 
 model.summary()
 !ec