TensorFlow 2.0 Complete Course – Python Neural Networks for Beginners Tutorial


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Learn the way to use TensorFlow 2.0 on this full tutorial course for novices. This course is designed for Python programmers seeking to improve their data and expertise in machine learning and artificial intelligence.

Throughout the Eight modules on this course you’ll study elementary ideas and strategies in ML & AI like core studying algorithms, deep studying with neural networks, pc imaginative and prescient with convolutional neural networks, pure language processing with recurrent neural networks, and reinforcement studying.

Each of those modules embody in-depth explanations and a wide range of completely different coding examples. After finishing this course you should have an intensive data of the core methods in machine learning and AI and have the talents needed to use these methods to your personal knowledge-units and distinctive issues.

⭐️ Google Colaboratory Notebooks ⭐️

📕 Module 2: Introduction to TensorFlow – https://colab.analysis.google.com/drive/1F_EWVKa8rbMXi3_fG0w7AtcscFq7Hi7B#forceEdit=true&sandboxMode=true
📗 Module 3: Core Learning Algorithms – https://colab.analysis.google.com/drive/15Cyy2H7nT40sGR7TBN5wBvgTd57mVKay#forceEdit=true&sandboxMode=true
📘 Module 4: Neural Networks with TensorFlow – https://colab.analysis.google.com/drive/1m2cg3D1x3j5vrFc-Cu0gMvc48gWyCOuG#forceEdit=true&sandboxMode=true
📙 Module 5: Deep Computer Vision – https://colab.analysis.google.com/drive/1ZZXnCjFEOkp_KdNcNabd14yok0BAIuwS#forceEdit=true&sandboxMode=true
📔 Module 6: Natural Language Processing with RNNs – https://colab.analysis.google.com/drive/1ysEKrw_LE2jMndo1snrZUh5w87LQsCxk#forceEdit=true&sandboxMode=true
📒 Module 7: Reinforcement Learning – https://colab.analysis.google.com/drive/1IlrlS3bB8t1Gd5Pogol4MIwUxlAjhWOQ#forceEdit=true&sandboxMode=true

⭐️ Course Contents ⭐️

⌨️ Module 1: Machine Learning Fundamentals (00:03:25)
⌨️ Module 2: Introduction to TensorFlow (00:30:08)
⌨️ Module 3: Core Learning Algorithms (01:00:00)
⌨️ Module 4: Neural Networks with TensorFlow (02:45:39)
⌨️ Module 5: Deep Computer Vision – Convolutional Neural Networks (03:43:10)
⌨️ Module 6: Natural Language Processing with RNNs (04:40:44)
⌨️ Module 7: Reinforcement Learning with Q-Learning (06:08:00)
⌨️ Module 8: Conclusion and Next Steps (06:48:24)

⭐️ About the Author ⭐️

The creator of this course is Tim Ruscica, in any other case often called “Tech With Tim” from his academic programming YouTube channel. Tim has a ardour for instructing and loves to show in regards to the world of machine learning and artificial intelligence. Learn extra about Tim from the hyperlinks under:
🔗 YouTube: https://www.youtube.com/channel/UC4JX40jDee_tINbkjycV4Sg
🔗 LinkedIn: https://www.linkedin.com/in/tim-ruscica/

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read a whole lot of articles on programming: https://freecodecamp.org/information

And subscribe for new movies on expertise day-after-day: https://youtube.com/subscription_center?add_user=freecodecamp

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Comment List

  • freeCodeCamp.org
    November 9, 2020

    Wonderful. Great Thank you.

  • freeCodeCamp.org
    November 9, 2020

    This guys is a real droid: not only he had a serif pic, he also kept teaching us non stop for 7 hrs with out even a flinch , he also taught me how to use Google's notebook (feels like I'm the agent in Google's environment sometimes)
    Thank you and do more of these please

  • freeCodeCamp.org
    November 9, 2020

    If you get an error while importing this:

    import tensorflow.compat.v2.feature_column as fc

    just use this instead:

    import tensorflow._api.v2.feature_column as fc

  • freeCodeCamp.org
    November 9, 2020

    This is one of the best tutorials ever.. Thank you so much for your hard work on this.. 😍😍😍 I love the documents and the video explanation alot.. Many thanks to you.. Keep uploading more stuff on machine learning

  • freeCodeCamp.org
    November 9, 2020

    "Enviornment"

  • freeCodeCamp.org
    November 9, 2020

    guys a moment please !!!
    [ i installed tensorflow in my pycharm . but when i run the import code it says no libcudart.so.10.1 ] can anyone help me please . i am a starter in m.l

  • freeCodeCamp.org
    November 9, 2020

    Mean while my math class: explain why 20 / 17 = 1 + 3 / 17

  • freeCodeCamp.org
    November 9, 2020

    what a course done by you tim
    really thats off to you and your dedication towards teaching thanks a lot

  • freeCodeCamp.org
    November 9, 2020

    Awesome video! Anyone knows how to set up the same autocompletion?

  • freeCodeCamp.org
    November 9, 2020

    Hey bro pls make videos for ai and ml in stepwise please broo

  • freeCodeCamp.org
    November 9, 2020

    i can see you are a d4 player 😉 whats your rating?

  • freeCodeCamp.org
    November 9, 2020

    Awesome!!

  • freeCodeCamp.org
    November 9, 2020

    I will have to answer myself… It seems that the tensorflow this guy is using is already old. In later versions there is no tensorflow.core.python, but only tensorflow.python…

  • freeCodeCamp.org
    November 9, 2020

    This video is a must-watch for beginners getting into machine learning. I wish I had seen this video before. I have never got a better understanding of these topics and the differences between the terms AI, Machine Learning, etc. Thank you, sir, for your efforts.
    I am in class 12, and there is Linear Regression in Mathematics, but I haven't even thought that it can be used in ML also.

  • freeCodeCamp.org
    November 9, 2020

    It's "Environment", but you are a god. I never thought I'd actually watch a 6 hours long video. Now my school's AI Teacher fears me. Thank you.

  • freeCodeCamp.org
    November 9, 2020

    TL:DR Sorry if I missed it but the Intro notebook is different from video. Is there an updated copy?

  • freeCodeCamp.org
    November 9, 2020

    Around 2:14:00 isdigit() will not really work. In you case it worked because you didn't enter an alphanumeric value as input.

  • freeCodeCamp.org
    November 9, 2020

    Cari orang indonesia yg nonton ini… semoga bisa sharing bareng bareng…

  • freeCodeCamp.org
    November 9, 2020

    Can you add subtitle

  • freeCodeCamp.org
    November 9, 2020

    This is great Video. I'm a beginner -its kind of laid the path to my datascience learning. Thankyou so much for putting this together. I have a question, in dftain dataframe – column n_siblings_spouses, parch is numeric column but wondering why do you have to add it to categorical column.

  • freeCodeCamp.org
    November 9, 2020

    great course, thanks for sharing Tim

  • freeCodeCamp.org
    November 9, 2020

    Important Information!
    If you get to hour 5 and get this error;
    syntax error on line 478

    Easily fix this by turning off your computer, turning around and kissing your ass and AI career goodbye.

  • freeCodeCamp.org
    November 9, 2020
  • freeCodeCamp.org
    November 9, 2020
  • freeCodeCamp.org
    November 9, 2020

    In the Core Learning Algorithms module, I do not really understand the conclusion of the linear regression section. What have we achieved here? When we `print(result['accuracy'])` we are showing the accuracy of what? And finally, what is the 'predicted probabilities' plot showing us?

  • freeCodeCamp.org
    November 9, 2020

    fking god

  • freeCodeCamp.org
    November 9, 2020

    2:35:34

    Ignore this just saving my prog

  • freeCodeCamp.org
    November 9, 2020

    Could anyone help me, telling me which is the color correction function he is talking about at 4:28:15 and where it should be placed?

  • freeCodeCamp.org
    November 9, 2020

    Thank you so much for this!

  • freeCodeCamp.org
    November 9, 2020

    1h and 43min
    what is the value in schuffle() for?
    why do i have an function that just returns a function? why dont i use just one function?

  • freeCodeCamp.org
    November 9, 2020

    For anyone wondering, using the below code you can check if the model is saved:
    os.path.exists("filename.h5")

  • freeCodeCamp.org
    November 9, 2020

    I'm watching the module 3 of this course (core learning) but there is something not clear in my mind, 1:45:00 why a .LinearClassifier is used? is it for linear regression algorithms or a for linear classifier ones? the goal is to find a line that fits the dataset or a line that "splits" it? pls halp

  • freeCodeCamp.org
    November 9, 2020

    Hey its tech with tim ~

  • freeCodeCamp.org
    November 9, 2020

    Run run run your code, gently down the screen….

  • freeCodeCamp.org
    November 9, 2020

    May you live long and prosper. Such wealth of information given for free…kudos on your effort and your contribution to mankind

  • freeCodeCamp.org
    November 9, 2020

    What is this? Christmas came early?

  • freeCodeCamp.org
    November 9, 2020

    He may not be the greatest teacher tbh (but he is included to those who are great) but his commitment to teaching is undeniable! Thank you sir.

  • freeCodeCamp.org
    November 9, 2020

    This is amazing thank you so much!!!!!!!!

  • freeCodeCamp.org
    November 9, 2020

    HEY dude! u did not understand the main conceps as well too it as not helpful

  • freeCodeCamp.org
    November 9, 2020

    I'm really confused.

  • freeCodeCamp.org
    November 9, 2020

    Wow, codecamp and tim in the same video! Great job, guys. Thanks for all the classes!

  • freeCodeCamp.org
    November 9, 2020

    Thanks Tim. One question, we don't need to do one-hot encoding for categorical values that has been encoded? If we encode male=1, female=0 wouldn't machine judge it as male > female?

  • freeCodeCamp.org
    November 9, 2020

    Oh you sir, you are the best. I learned Python from you (in the tutorial of 4hours). Thank you so much for making another great lecture/tutorial. I will watch it now.

  • freeCodeCamp.org
    November 9, 2020

    You're an ace Tim! Thanks for taking the time to share what you've learned with the rest of us!

  • freeCodeCamp.org
    November 9, 2020

    Thanks

  • freeCodeCamp.org
    November 9, 2020

    Great tutorial

  • freeCodeCamp.org
    November 9, 2020

    'I'm sorry I'm talking a lot but…'
    Bro, it's a 7 hour TensorFlow tutorial, I didn't expect anything less! Awesome tutorial, thanks man

  • freeCodeCamp.org
    November 9, 2020

    Clickscare at 2:38:05

  • freeCodeCamp.org
    November 9, 2020

    WOW 2 OF MY FAVOURITE YOUTUBE CHANNELS MAKE THIS!

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