Learn KERAS with Real Code Examples
Updated Nov 24, 2025
Learning Path
Learn Python fundamentals
Understand basic ML concepts
Study neural networks and backpropagation
Practice building models with Keras
Deploy models in production pipelines
Skill Improvement Plan
Week 1: Python and NumPy basics
Week 2: Intro to Keras and Sequential API
Week 3: CNN and image classification projects
Week 4: RNN, LSTM, and NLP tasks
Week 5: Advanced models, callbacks, deployment
Interview Questions
Explain difference between Sequential and Functional API
What is overfitting and how to prevent it?
How do callbacks work in Keras?
Explain model.compile parameters
How to save and load models?
Cheat Sheet
Sequential = simple stack of layers
Functional API = complex DAG models
fit() = training loop
evaluate() = performance metrics
predict() = inference
Books
Deep Learning with Python by François Chollet
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Python Deep Learning
Keras Deep Learning Cookbook
Advanced Deep Learning with Keras
Tutorials
Official Keras tutorials
TensorFlow/Keras YouTube courses
MOOCs like Coursera and Udemy
Community blog guides
Sample projects in GitHub repos
Official Docs
https://keras.io/
https://www.tensorflow.org/keras
https://github.com/keras-team/keras
Community Links
Keras GitHub repository
TensorFlow forums
StackOverflow
Reddit /r/MachineLearning
YouTube tutorials
Community Support
Keras GitHub
TensorFlow forums
StackOverflow
Reddit /r/MachineLearning
YouTube tutorials and MOOCs