Beginner Intro to Neural Networks 4: First Neural Network in Python


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Welcome to the fourth video in a sequence introducing neural networks! In this video we write our first neural community as a perform. It takes random parameters (w1, w2, b) and measurements (m1, m2) and outputs predictions between zero and 1. The predictions are random as a result of the parameters are random.

In the following video we’ll take a look at one thing known as a price perform, and begin trying into how calculus may also help us decrease this perform, which in flip will get us higher weights for our neural community.

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Comment List

  • giant_neural_network
    November 10, 2020

    Thank you for this playlist, it's amazing!

  • giant_neural_network
    November 10, 2020

    thank god for your video, I actually need to do a simple neural network code explaination,which the code is from other student in my group, the other day but I haven't really tried one myself yet as I want to learn pytorch from scatch carefully…I kinda have knowledge to the concept of it but I don't understand what a specific code dose in such program

  • giant_neural_network
    November 10, 2020

    Thank you so Much 😍

  • giant_neural_network
    November 10, 2020

    This is GOAT in the world of Neural Networks

  • giant_neural_network
    November 10, 2020

    love love love 🙂

  • giant_neural_network
    November 10, 2020

    i think that it is wrong becoz you did m1xw1 but you have to multiply with m1xw2 also to get result

  • giant_neural_network
    November 10, 2020

    Man. This is the best video series I've seen. You have explained this topic wonderfully. I really appreciate it

  • giant_neural_network
    November 10, 2020

    Mantap videonya.
    Saya juga ada nih rekomendasi channel lain buat belajar neural network siapa tau cocok hehe.

    https://youtu.be/vyAsO_fzNF8

  • giant_neural_network
    November 10, 2020

    Code please sir

  • giant_neural_network
    November 10, 2020

    First time using a Jupyter notebook. Looks neat 🙂

  • giant_neural_network
    November 10, 2020

    DUDE I TRIED USING KERAS. EVERYTIME MY KERNEL WAS DYING. IN THE END,AFTER 4-5 HOURS OF PAIN,I FOUND KERAS IS NOT COMPATIBLE WITH PYTHON 3.7.IN SHORT,YOU ROCKKKKKKKKK

  • giant_neural_network
    November 10, 2020

    My NN = (3, 1.5, w1, w2, b) doesn't give an output. I have checked each line. It is the same I am in Python 3, I don't know why it won't function. Help is appreciated.

  • giant_neural_network
    November 10, 2020

    Let me give you some feedback and complain a bit: You rock!!!!!!! Keep doing these. I am new to the topic and i love the way you teach.

  • giant_neural_network
    November 10, 2020

    I love your videos and wish you would continue.

  • giant_neural_network
    November 10, 2020

    Nice. Just a slight pity you didn't set a random seed so viewers could follow along and get the same values.

  • giant_neural_network
    November 10, 2020

    I'm still learning. I'm not confused so far! I'll keep going!

  • giant_neural_network
    November 10, 2020

    I need to create a NN with three inputs and two outputs. The problem is that these inputs and outputs should be real numbers (not something between 0 and 1) because it is a Materials Engineering phenomenon.
    Is this possible?

  • giant_neural_network
    November 10, 2020

    I've always said I'm very visual when it comes to learn, so this has been very useful to me, I really feel like I'm learning and not getting bored. Thanks!

  • giant_neural_network
    November 10, 2020

    Thank you so much for these videos! I could not follow my professor in class at all…. and your video made complete sense of it all in half an hour!

  • giant_neural_network
    November 10, 2020

    You are adorable <3 So simple yet so elegant!! Btw may i know which software you've used to record this awesome video?

  • giant_neural_network
    November 10, 2020

    Good intro. please show us the rest of the code. I am trying hard to understand how this code works, sigmoid etc…

  • giant_neural_network
    November 10, 2020

    I had stuck in this neural network. this series is very good to understand thanks a lot ♥️

  • giant_neural_network
    November 10, 2020

    python 2 in 2017, youre one of the reasons why Python3 is still not heeding forward.

  • giant_neural_network
    November 10, 2020

    I soo stoned and im watching singing computer in under some math.. great

  • giant_neural_network
    November 10, 2020

    the musical was scary

  • giant_neural_network
    November 10, 2020

    Continue these series in deep learning please?

  • giant_neural_network
    November 10, 2020

    The most coolest and interesting way of teaching Neural Networks. Thanks

  • giant_neural_network
    November 10, 2020

    These tutorials are awesome. Like Elias W. below, I've been searching for a clear, well-paced tutorial for a long time. Thank you so much for doing this.

  • giant_neural_network
    November 10, 2020

    Great content and way of explanation.

  • giant_neural_network
    November 10, 2020

    You are truly the best tutor, your videos are easy to learn from especially for a beginner like me. Thank you for the tutorials. Hope to see more video's from you Dr.

  • giant_neural_network
    November 10, 2020

    How can we give input values of sentences like (news titles)

  • giant_neural_network
    November 10, 2020

    Extremely wonderful work…… The way everything is simplified and explained is what brings me here.

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