Removed redundant tip to run in Colab, fix spelling

Author: vfdev-5

en-wordlist.txt

@@ -10,6 +10,7 @@ RRef
 OOM
 subfolder
 Dialogs
+PennFudan
 performant
 multithreading
 linearities
@@ -30,6 +31,8 @@ breakpoint
 MobileNet
 DeepLabV
 Resampling
+RCNN
+RPN
 APIs
 ATen
 AVX
@@ -134,6 +137,7 @@ LRSchedulers
 Lua
 Luong
 macos
+mAP
 MLP
 MLPs
 MNIST
@@ -165,10 +169,12 @@ OU
 PIL
 PPO
 Plotly
+pre
 Prec
 Profiler
 PyTorch's
 RGB
+RGBA
 RL
 RNN
 RNNs
@@ -331,6 +337,7 @@ jit
 jitter
 jpg
 judgements
+keypoint
 kwargs
 labelled
 learnable
@@ -411,6 +418,7 @@ reinitializes
 relu
 reproducibility
 rescale
+rescaling
 resnet
 restride
 rewinded
@@ -462,10 +470,12 @@ torchscriptable
 torchtext
 torchtext's
 torchvision
+TorchVision
 torchviz
 traceback
 tradeoff
 tradeoffs
+uint
 uncomment
 uncommented
 underflowing

intermediate_source/torchvision_tutorial.py

@@ -6,13 +6,6 @@
 
 ######################################################################
 #
-# .. tip::
-#
-#     To get the most of this tutorial, we suggest using this
-#     `Colab Version <https://colab.research.google.com/github/pytorch/tutorials/blob/gh-pages/_downloads/torchvision_finetuning_instance_segmentation.ipynb>`_.
-#     This will allow you to experiment with the information presented below.
-#
-#
 # For this tutorial, we will be finetuning a pre-trained `Mask
 # R-CNN <https://arxiv.org/abs/1703.06870>`_ model on the `Penn-Fudan
 # Database for Pedestrian Detection and