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

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Udemy

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

Explore the full course on Udemy (special discount included in the link): https://bit.ly/2SxoeBM

In less than 3 hours, you can understand the theory behind modern artificial intelligence, and apply it with several hands-on examples. This is machine learning on steroids! Find out why everyone’s so excited about it and how it really works – and what modern AI can and cannot really do.

In this course, we will cover:

• Deep Learning Pre-requistes (gradient descent, autodiff, softmax)
• The History of Artificial Neural Networks
• Deep Learning in 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 end, you will have a final challenge to create your own deep learning / machine learning system to predict whether real mammogram results are benign or malignant, using your own artificial neural network you have learned to code from scratch with Python.

Separate the reality of modern AI from the hype – by learning about deep learning, well, deeply. You will need some familiarity with Python and linear algebra to follow along, but if you have that experience, you will find that neural networks are not as complicated as they sound. And how they actually work is quite elegant!

This is hands-on tutorial with real code you can download, study, and run yourself.

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22 thoughts on “Deep Learning Tutorial with Python | Machine Learning with Neural Networks [Top Udemy Instructor]”

  3. 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.

  5. my notebook says tensorflow has no attributes named global_variables_initializer
    Thank you for this very good video 🙂
    Interesting. Easy to understand. 25 min in. Thank u

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

  17. 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!!

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

  20. I really like the advise sir Frank!!
    Good effort…thanks
    I really like the advise sir Frank!!
    I really like the advise sir Frank!!
    Good effort…thanks
    Good effort…thanks
    Good effort…thanks

  21. 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

  22. I really like the advise sir Frank!!
    Good effort…thanks
    I really like the advise sir Frank!!
    I really like the advise sir Frank!!
    Good effort…thanks

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