Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder)

PiperOrigin-RevId: 169763373

tensorflow/contrib/receptive_field/README.md

@@ -38,7 +38,7 @@ models are available to you. This can be done in three simple commands:
 
 ```sh
 git clone https://github.com/tensorflow/models
-cd models/slim
+cd models/research/slim
 sudo python setup.py install_lib
 ```
 

tensorflow/contrib/signal/python/kernel_tests/mel_ops_test.py

@@ -33,7 +33,7 @@ def hertz_to_mel(frequencies_hertz):
   """Convert frequencies to mel scale using HTK formula.
 
   Copied from
-  https://github.com/tensorflow/models/blob/master/audioset/mel_features.py.
+  https://github.com/tensorflow/models/blob/master/research/audioset/mel_features.py.
 
   Args:
     frequencies_hertz: Scalar or np.array of frequencies in hertz.
@@ -54,7 +54,7 @@ def spectrogram_to_mel_matrix(num_mel_bins=20,
   """Return a matrix that can post-multiply spectrogram rows to make mel.
 
   Copied from
-  https://github.com/tensorflow/models/blob/master/audioset/mel_features.py.
+  https://github.com/tensorflow/models/blob/master/research/audioset/mel_features.py.
 
   Returns a np.array matrix A that can be used to post-multiply a matrix S of
   spectrogram values (STFT magnitudes) arranged as frames x bins to generate a

tensorflow/examples/android/src/org/tensorflow/demo/TensorFlowObjectDetectionAPIModel.java

@@ -35,7 +35,7 @@ import org.tensorflow.demo.env.Logger;
 
 /**
  * Wrapper for frozen detection models trained using the Tensorflow Object Detection API:
- * github.com/tensorflow/models/tree/master/object_detection
+ * github.com/tensorflow/models/tree/master/research/object_detection
  */
 public class TensorFlowObjectDetectionAPIModel implements Classifier {
   private static final Logger LOGGER = new Logger();

tensorflow/python/keras/_impl/keras/applications/mobilenet.py

@@ -57,7 +57,7 @@ the 100 % MobileNet on various input sizes:
 
 The weights for all 16 models are obtained and translated
 from Tensorflow checkpoints found at
-https://github.com/tensorflow/models/blob/master/slim/nets/mobilenet_v1.md
+https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md
 
 # Reference
 - [MobileNets: Efficient Convolutional Neural Networks for