Take theModeling &ActivationFunctionQuizRead thearticle'Introductionto NeuralNetworks'Read the article'UnderstandingActivationFunctions inNeuralNetworks'Experimentwith training aneural networkusingTensorflow’splaygroundCompletelessons 3.Overview ofModeling to 7.Modeling KeyPointsShare yourkey learningsfrom lessons3 to 7 in the#p4 channelRead the article'Everything youneed to knowabout “ActivationFunctions” in Deeplearning models'Try out theMagicSketchpadthat is basedon RNNsWhat’s yourfavourite modelarchitecture andwhy? Discuss youranswer with yourstudy groupTake theModeling &ActivationFunctionQuizRead thearticle'Introductionto NeuralNetworks'Read the article'UnderstandingActivationFunctions inNeuralNetworks'Experimentwith training aneural networkusingTensorflow’splaygroundCompletelessons 3.Overview ofModeling to 7.Modeling KeyPointsShare yourkey learningsfrom lessons3 to 7 in the#p4 channelRead the article'Everything youneed to knowabout “ActivationFunctions” in Deeplearning models'Try out theMagicSketchpadthat is basedon RNNsWhat’s yourfavourite modelarchitecture andwhy? Discuss youranswer with yourstudy group

#p4_build_a_model Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Take the Modeling & Activation Function Quiz
  2. Read the article 'Introduction to Neural Networks'
  3. Read the article 'Understanding Activation Functions in Neural Networks'
  4. Experiment with training a neural network using Tensorflow’s playground
  5. Complete lessons 3. Overview of Modeling to 7. Modeling Key Points
  6. Share your key learnings from lessons 3 to 7 in the #p4 channel
  7. Read the article 'Everything you need to know about “Activation Functions” in Deep learning models'
  8. Try out the Magic Sketchpad that is based on RNNs
  9. What’s your favourite model architecture and why? Discuss your answer with your study group