diff --git a/client/src/pages/learn/machine-learning-with-python/tensorflow/index.md b/client/src/pages/learn/machine-learning-with-python/tensorflow/index.md index 904f3535048..26f23fb7b22 100644 --- a/client/src/pages/learn/machine-learning-with-python/tensorflow/index.md +++ b/client/src/pages/learn/machine-learning-with-python/tensorflow/index.md @@ -5,6 +5,6 @@ superBlock: Machine Learning with Python --- ## Introduction to the TensorFlow Challenges -Tensorflow is an open source framework developed by the Google Brain team aimed to make the powers of machine learning and neural networking easier to use. +TensorFlow is an open source framework developed by the Google Brain team aimed to make the powers of machine learning and neural networking easier to use. -The following lectures were created by Tim Ruscica, otherwise known as “Tech With Tim” from his educational programming YouTube channel. They will help you to understand Tensorflow and some of it's capabilities. \ No newline at end of file +The following lectures were created by Tim Ruscica, otherwise known as “Tech With Tim” from his educational programming YouTube channel. They will help you to understand TensorFlow and some of its capabilities. \ No newline at end of file diff --git a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md index d35df18aee6..e3c5591a156 100644 --- a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md +++ b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md @@ -8,7 +8,7 @@ isRequired: true ## Description
-For this challenge, you will use Tensorflow 2.0 and Karas to create a convolutional neural network that correctly classifies images of cats and dogs with at least 63% accuracy. +For this challenge, you will use TensorFlow 2.0 and Karas to create a convolutional neural network that correctly classifies images of cats and dogs with at least 63% accuracy. You can access the full project instructions and starter code on Google Colaboratory. diff --git a/utils/block-nameify.js b/utils/block-nameify.js index bb4e0c69690..481cf91ffc5 100644 --- a/utils/block-nameify.js +++ b/utils/block-nameify.js @@ -15,7 +15,8 @@ const preFormattedBlockNames = { 'apis-and-microservices-projects': 'APIs and Microservices Projects', 'scientific-computing-with-python': 'Scientific Computing with Python', 'data-analysis-with-python': 'Data Analysis with Python', - 'machine-learning-with-python': 'Machine Learning with Python' + 'machine-learning-with-python': 'Machine Learning with Python', + tensorflow: 'TensorFlow' }; const noFormatting = ['and', 'for', 'of', 'the', 'up', 'with'];