Learn how to use TensorFlow 2.0 in this full tutorial course for beginners. This course is designed for Python programmers looking to enhance their knowledge and skills in machine learning and artificial intelligence.
Throughout the 8 modules in this course you will learn about fundamental concepts and methods in ML & AI like core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning.
Each of these modules include in-depth explanations and a variety of different coding examples. After completing this course you will have a thorough knowledge of the core techniques in machine learning and AI and have the skills necessary to apply these techniques to your own data-sets and unique problems.
⭐️ Google Colaboratory Notebooks ⭐️
📕 Module 2: Introduction to TensorFlow – https://colab.research.google.com/drive/1F_EWVKa8rbMXi3_fG0w7AtcscFq7Hi7B#forceEdit=true&sandboxMode=true
📗 Module 3: Core Learning Algorithms – https://colab.research.google.com/drive/15Cyy2H7nT40sGR7TBN5wBvgTd57mVKay#forceEdit=true&sandboxMode=true
📘 Module 4: Neural Networks with TensorFlow – https://colab.research.google.com/drive/1m2cg3D1x3j5vrFc-Cu0gMvc48gWyCOuG#forceEdit=true&sandboxMode=true
📙 Module 5: Deep Computer Vision – https://colab.research.google.com/drive/1ZZXnCjFEOkp_KdNcNabd14yok0BAIuwS#forceEdit=true&sandboxMode=true
📔 Module 6: Natural Language Processing with RNNs – https://colab.research.google.com/drive/1ysEKrw_LE2jMndo1snrZUh5w87LQsCxk#forceEdit=true&sandboxMode=true
📒 Module 7: Reinforcement Learning – https://colab.research.google.com/drive/1IlrlS3bB8t1Gd5Pogol4MIwUxlAjhWOQ#forceEdit=true&sandboxMode=true
⭐️ Course Contents ⭐️
⌨️ (00:03:25) Module 1: Machine Learning Fundamentals
⌨️ (00:30:08) Module 2: Introduction to TensorFlow
⌨️ (01:00:00) Module 3: Core Learning Algorithms
⌨️ (02:45:39) Module 4: Neural Networks with TensorFlow
⌨️ (03:43:10) Module 5: Deep Computer Vision – Convolutional Neural Networks
⌨️ (04:40:44) Module 6: Natural Language Processing with RNNs
⌨️ (06:08:00) Module 7: Reinforcement Learning with Q-Learning
⌨️ (06:48:24) Module 8: Conclusion and Next Steps
⭐️ About the Author ⭐️
The author of this course is Tim Ruscica, otherwise known as “Tech With Tim” from his educational programming YouTube channel. Tim has a passion for teaching and loves to teach about the world of machine learning and artificial intelligence. Learn more about Tim from the links below:
🔗 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 hundreds of articles on programming: https://freecodecamp.org/news
And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp
source
sibsp: Number of Siblings/Spouses Aboard ('sib'lings and 'sp'ouses = "sibsp")
parch: Number of Parents/Children Aboard ('par'ents and 'ch'ildren = "parch")
Thanks, Man. Really Awesome
👍👍👍👍👍
Amazing that things like this are just freely online.
2:39:30 EVERY FKN PROGRAMMER KNOWS THAT MOMENT
Thx
Thank you very much for the course! See you in the next ones.
thanks!
Personal Bookmark –
overfitting example : 3:34:42
16:48
So amazing, I am going to join the chanel from tomorrow. I have no better words than to say that this fantastic awesome to give a tutorial on Tensorflow in a comprehensive way.
Kiitos!
I needed a broad introduction in reasonable short time. Your 7 hours video and CoogleCollaborator pages did the trick. Thank you.
Thanks!
you are legend bro!!! Great work!!
Dear Tim
I do appreciate your effort on this… That is awesome
A description of the "parch" column, found on kaggle:
parch: # of parents / children aboard the Titanic
I heard of tensor flow several times, but I never expected that it literally uses tensors form math's multilinear algebra. Wow, it's cool. So now I am learning it with Tim. Thanks Tim!
Great in-depth explanation. The flow of topics was also great. Helped me to get a solid foundation of concepts. Thanks a lot for this.
My bookmarks
3:33:19 so true
সত্যি কথা বলেছে
thank you
Is only Python a prerequisite for this course?
fare is the cost of the journey. Im not sure what parch is either.