François Chollet on Twitter: "https://t.co/3la4cAlgYJ features 52 high-quality, concise, very readable deep learning code examples across different application domains. They're a great way to learn about deep learning and Keras best practices. https://t.co/eE1hRBF8Gt"

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1. Imen Grida Ben Yahia‏ @Imengby 7 Dec 2020
  Replying to @fchollet
  
  Thank you ! Excellent material, clear and help for quick and effective start.
  
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1. Harveen Singh Chadha‏ @HarveenChadha 7 Dec 2020
  Replying to @fchollet
  
  The tutorial on efficientnets was a wonderful one. This one integration in tf2.3 made me really happy. I am looking forward to FixEfficientNetB*/L* models now!
  
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1. Moussa Traoré‏ @mousstra1512 7 Dec 2020
  Replying to @fchollet
  
  you will go to paradise
  
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1. Mark Saroufim‏ @marksaroufim 7 Dec 2020
  Replying to @fchollet
  
  Have you considered adding Spektral GNN examples?https://github.com/danielegrattarola/spektral …
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1. ernes ‏ @ernestomancebo 7 Dec 2020
  Replying to @fchollet
  
  I can tell that the code they put into their documentation is really semantic.
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1. Ibrahima‏ @barryibs 7 Dec 2020
  Replying to @fchollet
  
  @mansa_liman
  
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1. Nitin Kishore‏ @Nitin_wysiwyg 7 Dec 2020
  Replying to @fchollet
  
  Awesome ! Love it already. This is going to be my new weekly read
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1. Rocksetta Jeremy Ellis‏ @rocksetta 8 Dec 2020
  Replying to @fchollet
  
  Got any examples of training a simple int8 #keras layer using a #QuantumComputer. It is my latest in a long line of #machineLearning hurdles to jump.
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1. Nabeel حسن‏ @nabeelhasan25 8 Dec 2020
  Replying to @fchollet
  
  double baam !!!!
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