Day 1 — Getting Started with TensorFlow in Python
If you're comfortable with Python and ready to break into machine learning, TensorFlow is a powerful next step — but it can feel overwhelming at first.
That’s why I’m kicking off a new article series with:
“Getting Started with TensorFlow Using Python” – Day 1
📌 No fluff — just the essentials, with clear code examples and practical explanations.
🔍 In this first article, you’ll learn:
• What tensors are and how to use them
• Core TensorFlow operations like reshaping, casting, and matrix multiplication
• How to prep data for ML models (including one-hot encoding)
🧠 This article was inspired in part by the "TensorFlow for Deep Learning" course by ZTM, which helped deepen my understanding and spark this hands-on series.
👉 Read Day 1 here:
https://medium.com/@achinikechigozie22/by-achinike-chigozie-ed4be8b43812
💬 If you’re learning TensorFlow too — what helped you most in the beginning? Drop your favorite resource or tip below ⬇️
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