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.
โญ๏ธ Google Colaboratory Notebooks โญ๏ธ
๐ Module 2: Introduction to TensorFlow – https://colab.research.google.com/drive/1F_EWVKa8rbMXi3_fG0w7AtcscFq7Hi7B#forceEdit=true&sandboxMode=true
๐ Module 3: Core Learning Algorithms – https://colab.research.google.com/drive/15Cyy2H7nT40sGR7TBN5wBvgTd57mVKay#forceEdit=true&sandboxMode=true
๐ Module 4: Neural Networks with TensorFlow – https://colab.research.google.com/drive/1m2cg3D1x3j5vrFc-Cu0gMvc48gWyCOuG#forceEdit=true&sandboxMode=true
๐ Module 5: Deep Computer Vision – https://colab.research.google.com/drive/1ZZXnCjFEOkp_KdNcNabd14yok0BAIuwS#forceEdit=true&sandboxMode=true
๐ Module 6: Natural Language Processing with RNNs – https://colab.research.google.com/drive/1ysEKrw_LE2jMndo1snrZUh5w87LQsCxk#forceEdit=true&sandboxMode=true
๐ Module 7: Reinforcement Learning – https://colab.research.google.com/drive/1IlrlS3bB8t1Gd5Pogol4MIwUxlAjhWOQ#forceEdit=true&sandboxMode=true
โญ๏ธ Course Contents โญ๏ธ
โจ๏ธ (00:03:25) Module 1: Machine Learning Fundamentals
โจ๏ธ (00:30:08) Module 2: Introduction to TensorFlow
โจ๏ธ (01:00:00) Module 3: Core Learning Algorithms
โจ๏ธ (02:45:39) Module 4: Neural Networks with TensorFlow
โจ๏ธ (03:43:10) Module 5: Deep Computer Vision – Convolutional Neural Networks
โจ๏ธ (04:40:44) Module 6: Natural Language Processing with RNNs
โจ๏ธ (06:08:00) Module 7: Reinforcement Learning with Q-Learning
โจ๏ธ (06:48:24) Module 8: Conclusion and Next Steps
โญ๏ธ About the Author โญ๏ธ
The author of this course is Tim Ruscica, otherwise known as โTech With Timโ 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:
๐ YouTube: https://www.youtube.com/channel/UC4JX40jDee_tINbkjycV4Sg
๐ 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
source
