Deep Learning Tutorial with Python | Machine Learning with Neural Networks [Top Udemy Instructor]


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In this video, Deep Learning Tutorial with Python | Machine Learning with Neural Networks Explained, Udemy teacher Frank Kane helps de-mystify the world of deep studying and synthetic neural networks with Python!

Explore the total course on Udemy (particular low cost included within the hyperlink): https://bit.ly/2SxoeBM

In lower than three hours, you possibly can perceive the speculation behind fashionable artificial intelligence, and apply it with a number of hands-on examples. This is machine learning on steroids! Find out why everybody’s so enthusiastic about it and the way it actually works – and what fashionable AI can and can’t actually do.

In this course, we are going to cowl:

• Deep Learning Pre-requistes (gradient descent, autodiff, softmax)
• The History of Artificial Neural Networks
• Deep Learning within the Tensorflow Playground
• Deep Learning Details
• Introducing Tensorflow
• Using Tensorflow
• Introducing Keras
• Using Keras to Predict Political Parties
• Convolutional Neural Networks (CNNs)
• Using CNNs for Handwriting Recognition
• Recurrent Neural Networks (RNNs)
• Using a RNN for Sentiment Analysis
• The Ethics of Deep Learning
• Learning More about Deep Learning

At the top, you’ll have a ultimate problem to create your individual deep studying / machine learning system to foretell whether or not actual mammogram outcomes are benign or malignant, utilizing your individual synthetic neural community you will have realized to code from scratch with Python.

Separate the truth of recent AI from the hype – by studying about deep studying, properly, deeply. You will want some familiarity with Python and linear algebra to observe alongside, however when you’ve got that have, you’ll discover that neural networks will not be as sophisticated as they sound. And how they really work is sort of elegant!

This is hands-on tutorial with actual code you possibly can obtain, research, and run your self.

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Comment List

  • Udemy
    November 10, 2020

    How do I upload my own Dataset to the playground neural network data set choices. I want to predict an opponents footwork in the boxing ring when I make certain moves, or throw certain types of punches.

  • Udemy
    November 10, 2020

    Note: you can add more features instead of more neurons to get a faster and better result!

  • Udemy
    November 10, 2020

    Would be good to update the parts specific to tensorflow v1 to v2. Or maybe instead of redoing the video have v2 code versions for the appropriate examples

  • Udemy
    November 10, 2020

    What version of TensorFlow is he using, I'm having lots of trouble with setup

  • Udemy
    November 10, 2020

    watch at 01:32:08 😀

  • Udemy
    November 10, 2020

    Completed the whole tutorial, exercise and project and thanks for putting this up on YouTube. This has gives me the little push I needed to start further learning in deep learning.

  • Udemy
    November 10, 2020

    The Tonight Show: At Home Edition with Tina Fey & José Andrés
    https://youtu.be/Q8o85dhujQM
    @Megan Thee Stallion on verified https://youtu.be/hhNlxcZWayw

  • Udemy
    November 10, 2020

    Awesome video!! Taken in a lot… huge thanks for this …
    Amazing content, I really learnt a lot thanks Frank. Please keep on producing such indepth material

  • Udemy
    November 10, 2020

    Anyone else repeat https://sundog-education.com/deep-learning in Frank's voice?

  • Udemy
    November 10, 2020

    Awesome video!! Taken in a lot… huge thanks for this …
    I really like the advise sir Frank!!
    Good effort…thanks
    I really like the advise sir Frank!!
    Good effort…thanks
    I really like the advise sir Frank!!

  • Udemy
    November 10, 2020

    I really like the advise sir Frank!!
    Good effort…thanks
    I really like the advise sir Frank!!
    Amazing content, I really learnt a lot thanks Frank. Please keep on producing such indepth material

  • Udemy
    November 10, 2020

    Amazing content, I really learnt a lot thanks Frank. Please keep on producing such indepth material

  • Udemy
    November 10, 2020

    I really like the advise sir Frank!!
    Good effort…thanks
    I really like the advise sir Frank!!
    my notebook says tensorflow has no attributes named global_variables_initializer

  • Udemy
    November 10, 2020

    I really like the advise sir Frank!!
    Good effort…thanks
    my notebook says tensorflow has no attributes named global_variables_initializer

  • Udemy
    November 10, 2020

    I am not able to install tensorflow using pip

  • Udemy
    November 10, 2020

    I love the video and just starting my journey with Deep Learning. However, I have ran into a problem and it is making it very difficult for me to follow along with code. It seems Tensorflow has updated it's version from the version you are using in the video. First time working with Tensorflow and trying to understand the changes and how to implement them all to stop errors is a little challenging. Do you have an updated version or an explanation of the changes that need to be made in the code? But I do love your teaching style and your very clear and concise on topics.

  • Udemy
    November 10, 2020

    Great!

  • Udemy
    November 10, 2020

    Very well done and thank you for sharing. Liked the mix of moral and Tech – important and appreciated you brought it in to the video.

  • Udemy
    November 10, 2020

    my notebook says tensorflow has no attributes named global_variables_initializer

  • Udemy
    November 10, 2020

    Fewer layers! – grammar nazi

  • Udemy
    November 10, 2020

    'Gradient descent' has a pre-computer history: conceived as linear programming;s maxima-minima methods wayback before computers.

  • Udemy
    November 10, 2020

    Free idea for a deep learning project: Make early phonograph recordings clear and steady so that they sound almost like modern recordings.

  • Udemy
    November 10, 2020

    What version of tensorflow is he using ?

  • Udemy
    November 10, 2020

    57:35 Using PyCharm 2019 CE and the tf.global_variables_initializer() and tf.Session() commands aren't working. I've tried almost everything and have been attempting to get this to work for half the day. Is there something I'm missing? Any help would be great.

  • Udemy
    November 10, 2020

    is a Perceptron a Decepticon or an Autobot

  • Udemy
    November 10, 2020

    On the spiral pattern, why even consider NN? A simple Knn with 3-5 closest neighbors would have done an amazing job on this problem. No need to force NN. Amazing video btw! you are a rock star!

  • Udemy
    November 10, 2020

    From version 2.0 there is no more global variables with helper methods, so first part wont work properly

  • Udemy
    November 10, 2020

    Thanks for giving an overall Idea about Deep Learning. Your video provided me necessary AI foundation and much required motivation. Thanks again.

  • Udemy
    November 10, 2020

    I am getting error in the final project task of tumor although I am following the same code as instructed.
    Found array with 0 sample(s) (shape=(0, 4)) while a minimum of 1 is required by StandardScaler.

  • Udemy
    November 10, 2020

    Am getting an error trying to add the input layer and the bias (hidden_layer=input_layer + input_bias)
    Error:dimensions must be equal!!

  • Udemy
    November 10, 2020

    Thanks for the video. My first journey into ML.
    Btw: for the spiral model, if you change the activation to "ReLU" gives a good spiral fit with just 3 hidden layers of 6, 4, 2 :). Great fun way to learn with the examples.

  • Udemy
    November 10, 2020

    Sir, Your presentation & explanation was very good. Though with a visual appearance with pointer (atleast mouse pointer) pointing to the portion of diagram/part you are explaining, would have been very helpful. Else it felt like we are looking blank to the slides & search or visualize mentally what you ment by it.
    Thank you

  • Udemy
    November 10, 2020

    Awesome video!! Taken in a lot… huge thanks for this …

  • Udemy
    November 10, 2020

    Easy to understand the machine learning – deep learning for👋 freeeeeeeeee 👌

  • Udemy
    November 10, 2020

    The spooky part mentioned in RNN explanation is because this course doesn't explain in depth how the algorithms work. So it seems like it's magic, but it isn't. It's good to get your feet in ML, but it feels like after this course I will simply use pre-made models and will not be completely sure why they work, just that they do. Either way, thanks, this helped a bit!

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