[GitHub] sandeep-krishnamurthy commented on a change in pull request #13325: [MXNET-1210 ] Gluon Audio - Example

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sandeep-krishnamurthy commented on a change in pull request #13325: [MXNET-1210 ] Gluon Audio - Example
URL: https://github.com/apache/incubator-mxnet/pull/13325#discussion_r236477858
 
 

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 File path: example/gluon/urban_sounds/model.py
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 @@ -0,0 +1,33 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+"""This module builds a model an MLP with a configurable output layer( number of units in the last layer).
+Users can pass any number of units in the last layer. SInce this dataset has 10 labels,
+the default value of num_labels = 10
+"""
+import mxnet as mx
+from mxnet import gluon
+
+# Defining a neural network with number of labels
+def get_net(num_labels=10):
+    net = gluon.nn.Sequential()
+    with net.name_scope():
+        net.add(gluon.nn.Dense(256, activation="relu")) # 1st layer (256 nodes)
+        net.add(gluon.nn.Dense(256, activation="relu")) # 2nd hidden layer
+        net.add(gluon.nn.Dense(num_labels))
+    net.collect_params().initialize(mx.init.Normal(1.))
 
 Review comment:
   xavier is better? or doesn't matter?
   

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