What’s yourfavourite modelarchitecture andwhy? Discuss youranswer with yourstudy groupTry out theMagicSketchpadthat is basedon RNNsRead the article'Everything youneed to knowabout “ActivationFunctions” in Deeplearning models'Share yourkey learningsfrom lessons3 to 7 in the#p4 channelRead the article'UnderstandingActivationFunctions inNeuralNetworks'Take theModeling &ActivationFunctionQuizExperimentwith training aneural networkusingTensorflow’splaygroundCompletelessons 3.Overview ofModeling to 7.Modeling KeyPointsRead thearticle'Introductionto NeuralNetworks'What’s yourfavourite modelarchitecture andwhy? Discuss youranswer with yourstudy groupTry out theMagicSketchpadthat is basedon RNNsRead the article'Everything youneed to knowabout “ActivationFunctions” in Deeplearning models'Share yourkey learningsfrom lessons3 to 7 in the#p4 channelRead the article'UnderstandingActivationFunctions inNeuralNetworks'Take theModeling &ActivationFunctionQuizExperimentwith training aneural networkusingTensorflow’splaygroundCompletelessons 3.Overview ofModeling to 7.Modeling KeyPointsRead thearticle'Introductionto NeuralNetworks'

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