TensorFlow 2. Finish Program – Python Neural Networks for Newcomers Tutorial

Find out how to use TensorFlow 2. in this whole tutorial program for inexperienced persons. This class is created for Python programmers searching to enhance their awareness and expertise in machine learning and artificial intelligence.

All over the 8 modules in this system you will understand about essential principles and techniques in ML & AI like core understanding algorithms, deep mastering with neural networks, personal computer eyesight with convolutional neural networks, pure language processing with recurrent neural networks, and reinforcement learning.

Each of these modules include in-depth explanations and a variety of unique coding illustrations. Just after completing this training course you will have a thorough know-how of the main strategies in machine learning and AI and have the expertise required to apply these strategies to your very own knowledge-sets and special difficulties.

⭐️ Google Colaboratory Notebooks ⭐️

📕 Module 2: Introduction to TensorFlow – https://colab.research.google.com/generate/1F_EWVKa8rbMXi3_fG0w7AtcscFq7Hi7B#forceEdit=correct&sandboxMode=genuine
📗 Module 3: Core Mastering Algorithms – https://colab.research.google.com/drive/15Cyy2H7nT40sGR7TBN5wBvgTd57mVKay#forceEdit=legitimate&sandboxMode=real
📘 Module 4: Neural Networks with TensorFlow – https://colab.investigate.google.com/travel/1m2cg3D1x3j5vrFc-Cu0gMvc48gWyCOuG#forceEdit=legitimate&sandboxMode=legitimate
📙 Module 5: Deep Laptop Eyesight – https://colab.study.google.com/travel/1ZZXnCjFEOkp_KdNcNabd14yok0BAIuwS#forceEdit=true&sandboxMode=correct
📔 Module 6: Purely natural Language Processing with RNNs – https://colab.investigation.google.com/travel/1ysEKrw_LE2jMndo1snrZUh5w87LQsCxk#forceEdit=true&sandboxMode=real
📒 Module 7: Reinforcement Learning – https://colab.research.google.com/push/1IlrlS3bB8t1Gd5Pogol4MIwUxlAjhWOQ#forceEdit=true&sandboxMode=legitimate

⭐️ Training course Contents ⭐️

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

⭐️ About the Author ⭐️

The creator of this class is Tim Ruscica, in any other case identified as “Tech With Tim” from his educational programming YouTube channel. Tim has a enthusiasm for instructing and enjoys to educate about the world of machine learning and artificial intelligence. Master additional about Tim from the links underneath:
🔗 YouTube: https://www.youtube.com/channel/UC4JX40jDee_tINbkjycV4Sg
🔗 LinkedIn: https://www.linkedin.com/in/tim-ruscica/

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

Examine hundreds of articles on programming: https://freecodecamp.org/information

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