Part 178: Training a Neural Network Using Keras API in TensorFlow
In this video, we’ll walk you through the process of training a neural network using the Keras API in TensorFlow. You’ll learn how to build, compile, and train a deep learning model step by step with clear explanations. Perfect for beginners and intermediate learners who want hands-on experience with TensorFlow and Keras!
🔥 What You’ll Learn:
✅ Introduction to Keras API in TensorFlow
✅ Building a simple neural network model
✅ Compiling the model with loss, optimizer & metrics
✅ Training the model on sample data
✅ Evaluating and improving performance
📂 Topics Covered:
Overview of Keras Sequential API
Adding Dense layers to the model
Model compilation (loss, optimizer, metrics)
Model training (fit method)
Evaluating accuracy
💡 By the end of this tutorial, you’ll know how to train your own neural network models with ease using TensorFlow’s powerful Keras API!
📺 Watch Previous Parts:
Check out the full TensorFlow Tutorial Playlist for a step-by-step learning journey.
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