Cleaned up ResNet v8 classifier

AnanthVivekanand · Dec 7, 2020 · 6c539e4 · 6c539e4
1 parent ceaa0db
commit 6c539e4
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Showing 5 changed files with 1,492 additions and 765 deletions.
diff --git a/training/.ipynb_checkpoints/ResNet_classifier_from_scratch-checkpoint.ipynb b/training/.ipynb_checkpoints/ResNet_classifier_from_scratch-checkpoint.ipynb
@@ -96,15 +96,7 @@
     "id": "phcY5PRevHqi"
    },
    "outputs": [],
-   "source": [
-    "#with open('/content/drive/My Drive/wavenet-test/features.pickle', 'rb') as handle:\n",
-    "#    features = pickle.load(handle)\n",
-    "    \n",
-    "#with open('/content/drive/My Drive/wavenet-test/labels.pickle', 'rb') as handle:\n",
-    "#  labels = pickle.load(handle)\n",
-    "\n",
-    "#!cp '/content/drive/My Drive/wavenet-test/US8K.tar' ."
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -270,9 +262,6 @@
     "    x.set_shape([4, 341, 513, 2])\n",
     "    return x, y\n",
     "\n",
-    "#from sklearn.model_selection import train_test_split \n",
-    "#x_train, x_test, y_train, y_test = train_test_split(all_X, all_Y, test_size=0.2, random_state = 42)\n",
-    "\n",
     "x_train = []\n",
     "x_test = []\n",
     "y_train = []\n",
@@ -325,8 +314,6 @@
     "\n",
     "  x = np.array(x)\n",
     "  x = np.swapaxes(x, 1, 2)\n",
-    "  #x = tf.convert_to_tensor(x)\n",
-    "  #x.set_shape([341, 513, 2])\n",
     "  y = np.array(y).astype(int)\n",
     "  res = (x,y)\n",
     "  #print (res)\n",
@@ -356,8 +343,7 @@
    },
    "outputs": [],
    "source": [
-    "model = create_new_model()\n",
-    "#model = load_model(9, 32, 2, \"./drive/My Drive/wavenet-test/new2/9_32_2_skipconnections_customdropout_run2/\")"
+    "model = create_new_model()"
    ]
   },
   {

diff --git a/training/.ipynb_checkpoints/ResNet_classifier_transfer_learning-checkpoint.ipynb b/training/.ipynb_checkpoints/ResNet_classifier_transfer_learning-checkpoint.ipynb
diff --git a/training/Attempt_8_22khz_ResNet.ipynb b/training/Attempt_8_22khz_ResNet.ipynb
diff --git a/training/ResNet_classifier_from_scratch.ipynb b/training/ResNet_classifier_from_scratch.ipynb
@@ -96,15 +96,7 @@
     "id": "phcY5PRevHqi"
    },
    "outputs": [],
-   "source": [
-    "#with open('/content/drive/My Drive/wavenet-test/features.pickle', 'rb') as handle:\n",
-    "#    features = pickle.load(handle)\n",
-    "    \n",
-    "#with open('/content/drive/My Drive/wavenet-test/labels.pickle', 'rb') as handle:\n",
-    "#  labels = pickle.load(handle)\n",
-    "\n",
-    "#!cp '/content/drive/My Drive/wavenet-test/US8K.tar' ."
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -270,9 +262,6 @@
     "    x.set_shape([4, 341, 513, 2])\n",
     "    return x, y\n",
     "\n",
-    "#from sklearn.model_selection import train_test_split \n",
-    "#x_train, x_test, y_train, y_test = train_test_split(all_X, all_Y, test_size=0.2, random_state = 42)\n",
-    "\n",
     "x_train = []\n",
     "x_test = []\n",
     "y_train = []\n",
@@ -325,8 +314,6 @@
     "\n",
     "  x = np.array(x)\n",
     "  x = np.swapaxes(x, 1, 2)\n",
-    "  #x = tf.convert_to_tensor(x)\n",
-    "  #x.set_shape([341, 513, 2])\n",
     "  y = np.array(y).astype(int)\n",
     "  res = (x,y)\n",
     "  #print (res)\n",
@@ -356,8 +343,7 @@
    },
    "outputs": [],
    "source": [
-    "model = create_new_model()\n",
-    "#model = load_model(9, 32, 2, \"./drive/My Drive/wavenet-test/new2/9_32_2_skipconnections_customdropout_run2/\")"
+    "model = create_new_model()"
    ]
   },
   {

diff --git a/training/ResNet_classifier_transfer_learning.ipynb b/training/ResNet_classifier_transfer_learning.ipynb