diff --git a/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb b/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb
index ae59e7712cc..b275f0e3538 100644
--- a/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb
+++ b/examples/notebooks/EfficientNet_Cifar100_finetuning.ipynb
@@ -1429,10 +1429,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from ignite.contrib.handlers import CustomPeriodicEvent\n",
-    "\n",
-    "cpe = CustomPeriodicEvent(n_epochs=3)\n",
-    "cpe.attach(trainer)\n",
+    "from ignite.handlers import global_step_from_engine\n",
     "\n",
     "\n",
     "def run_evaluation(engine):\n",
@@ -1440,23 +1437,27 @@
     "    evaluator.run(test_loader)\n",
     "\n",
     "\n",
-    "trainer.add_event_handler(cpe.Events.EPOCHS_3_STARTED, run_evaluation)\n",
+    "trainer.add_event_handler(Events.EPOCH_STARTED(every=3), run_evaluation)\n",
     "trainer.add_event_handler(Events.COMPLETED, run_evaluation)\n",
     "\n",
     "\n",
     "# Log train eval metrics:\n",
-    "tb_logger.attach(train_evaluator,\n",
-    "                 log_handler=OutputHandler(tag=\"training\",\n",
-    "                                           metric_names=list(metrics.keys()),\n",
-    "                                           another_engine=trainer),\n",
-    "                 event_name=Events.EPOCH_COMPLETED)\n",
+    "tb_logger.attach_output_handler(\n",
+    "    train_evaluator,\n",
+    "    event_name=Events.EPOCH_COMPLETED\n",
+    "    tag=\"training\",\n",
+    "    metric_names=list(metrics.keys()),\n",
+    "    global_step_transform=global_step_from_engine(trainer)\n",
+    ")\n",
     "\n",
     "# Log val metrics:\n",
-    "tb_logger.attach(evaluator,\n",
-    "                 log_handler=OutputHandler(tag=\"test\",\n",
-    "                                           metric_names=list(metrics.keys()),\n",
-    "                                           another_engine=trainer),\n",
-    "                 event_name=Events.EPOCH_COMPLETED)"
+    "tb_logger.attach_output_handler(\n",
+    "    evaluator,\n",
+    "    event_name=Events.EPOCH_COMPLETED,\n",
+    "    tag=\"test\",\n",
+    "    metric_names=list(metrics.keys()),\n",
+    "    global_step_transform=global_step_from_engine(trainer)\n",
+    ")"
    ]
   },
   {
@@ -1513,7 +1514,7 @@
     "es_patience = 10\n",
     "es_handler = EarlyStopping(patience=es_patience, score_function=default_score_fn, trainer=trainer)\n",
     "evaluator.add_event_handler(Events.COMPLETED, es_handler)\n",
-    "setup_logger(es_handler._logger)\n",
+    "setup_logger(es_handler.logger)\n",
     "\n",
     "\n",
     "# Clear cuda cache between training/testing\n",
@@ -1840,4 +1841,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}