Experimentwith training aneural networkusingTensorflow’splaygroundTake theModeling &ActivationFunctionQuizRead the article'Everything youneed to knowabout “ActivationFunctions” in Deeplearning models'Share yourkey learningsfrom lessons3 to 7 in the#p4 channelRead thearticle'Introductionto NeuralNetworks'Read the article'UnderstandingActivationFunctions inNeuralNetworks'Completelessons 3.Overview ofModeling to 7.Modeling KeyPointsTry out theMagicSketchpadthat is basedon RNNsWhat’s yourfavourite modelarchitecture andwhy? Discuss youranswer with yourstudy groupExperimentwith training aneural networkusingTensorflow’splaygroundTake theModeling &ActivationFunctionQuizRead the article'Everything youneed to knowabout “ActivationFunctions” in Deeplearning models'Share yourkey learningsfrom lessons3 to 7 in the#p4 channelRead thearticle'Introductionto NeuralNetworks'Read the article'UnderstandingActivationFunctions inNeuralNetworks'Completelessons 3.Overview ofModeling to 7.Modeling KeyPointsTry 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. Experiment with training a neural network using Tensorflow’s playground
  2. Take the Modeling & Activation Function Quiz
  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 'Introduction to Neural Networks'
  6. Read the article 'Understanding Activation Functions in Neural Networks'
  7. Complete lessons 3. Overview of Modeling to 7. Modeling Key Points
  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