Activation Functions - Deep Learning Dictionary

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  • čas přidán 24. 07. 2024
  • What are activation functions within artificial neural networks?
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    🕒🦎 VIDEO SECTIONS 🦎🕒
    00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources
    00:10 Activation Functions
    04:50 Collective Intelligence and the DEEPLIZARD HIVEMIND
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Komentáře • 14

  • @deeplizard
    @deeplizard  Před 2 lety +1

    💡 Unlock early access to the full Deep Learning Dictionary course at once by registering at:
    deeplizard.com/course/ddcpailzrd
    💡 For more in depth lessons, check out the Deep Learning Fundamentals - Premium Edition course:
    deeplizard.com/course/dlcpailzrd

  • @slycer10
    @slycer10 Před 2 lety +7

    Popular AF - What else would it mean? 😄😄
    Great videos. Really easy to understand. 👌🏼👍🏼

  • @Mutual_Information
    @Mutual_Information Před 2 lety +5

    The transition from sigmoid to relu made all the difference in the early 2010s.. for certain large nets, it was the difference between successful and failing training. In retrospect it makes sense. The sigmoid can easily make the gradient zero for a huge portion of the input domain . Relu doesn’t have that same level of a saturation problem.

  • @giovanniguerreiro8640
    @giovanniguerreiro8640 Před rokem +1

    Very informative!

  • @berlincmos
    @berlincmos Před rokem +2

    you are great 👏🌹

  • @emmanuelkoupoh7979
    @emmanuelkoupoh7979 Před 2 lety +2

    Thank you for your content.
    will you make a video related to diffusion models soon?

    • @deeplizard
      @deeplizard  Před 2 lety

      Thanks for the suggestion, we may cover this topic in the future!

  • @valentinleguizamon9957
    @valentinleguizamon9957 Před 3 měsíci

    😮😮😮

  • @Age_of_Apocalypse
    @Age_of_Apocalypse Před 2 lety

    Please, no comparison - loose or otherwise - with the human brain; there is ABSOLUTELY no comparison between a brain, a computer or neural networks. I have watched videos from neuroscientists and it's what they said. 🤔

    • @deeplizard
      @deeplizard  Před 2 lety +9

      The terminology in the field of deep learning is often motivated by the structure or function of the brain. For example, terms like _neural network, neurons, neuron activation, learning, etc._ While the brain may act as motivation for these DL terms and help to shed intuitive insights, this doesn’t mean that these artificial neural networks or network components technically operate in the same way as the brain.

    • @leanwolf6667
      @leanwolf6667 Před 2 lety +4

      Never trust anyone who speaks in absolutes. Most things exist on a spectrum and are subject to variation. Also, do not let the title "neuroscientist", or any other title for that matter, mesmerize you. Keep an open mind.

    • @adamblack2255
      @adamblack2255 Před 2 lety +2

      @@leanwolf6667 That sounds like a pretty absolute rule ;O

    • @Age_of_Apocalypse
      @Age_of_Apocalypse Před 2 lety

      @@leanwolf6667 Ignorance talking = YOU! There is absolutely no comparison between how a human brain works and how a computer works, if I can't trust a neuroscientist, who the hell can I trust?
      Please stop making that absurd comparison! Next, people will compare peoples with cars because both can go from point a to point b. 🤦‍♂️

    • @Age_of_Apocalypse
      @Age_of_Apocalypse Před 2 lety +1

      @@adamblack2255 🤣 You got that right!