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

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