Merge pull request #595 from faisal-rasheed-lone/patch-1

02_neural_network_classification_in_tensorflow.ipynb

02_neural_network_classification_in_tensorflow.ipynb

@@ -1853,8 +1853,8 @@
         "\n",
         "What about non-straight (non-linear) lines?\n",
         "\n",
-        "If we're going to model our classification data (the red and clue circles), we're going to need some non-linear lines.\n",
-        "\n",
+        "If we're going to model our classification data (the red and blue circles), we're going to need some non-linear lines.\n",
+        "\n", "# fixed typo in this line from clue to blue"
         "> 🔨 **Practice:** Before we get to the next steps, I'd encourage you to play around with the [TensorFlow Playground](https://playground.tensorflow.org/#activation=linear&batchSize=1&dataset=circle&regDataset=reg-plane&learningRate=0.01&regularizationRate=0&noise=0&networkShape=1&seed=0.09561&showTestData=false&discretize=false&percTrainData=70&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false&regularizationRate_hide=true&discretize_hide=true&regularization_hide=true&dataset_hide=true&noise_hide=true&batchSize_hide=true) (check out what the data has in common with our own classification data) for 10-minutes. In particular the tab which says \"activation\". Once you're done, come back.\n",
         "\n",
         "Did you try out the activation options? If so, what did you find?\n",