Making Machine Learning Accessible Using Keras

Overview

Join us to delve into Keras, the intuitive and user-friendly deep learning API designed to make artificial intelligence accessible for addressing business challenges. This event offers an in-depth look at Keras's wide array of features, APIs, and how to effectively build models.

Additionally, learn how to seamlessly integrate Keras with TensorFlow, empowering you to harness the full potential of AI.

Syllabus

• Introduction to Machine Learning and Keras
Overview of Machine Learning
Introduction to Keras and its role in the AI ecosystem
Benefits of using Keras for business applications
• Setting Up Your Environment
Installing Keras and TensorFlow
Basic configuration and setup
Introduction to Jupyter Notebooks and Python
• Understanding Keras APIs
Sequential API
Functional API
Model Subclassing
• Building and Training Models
Defining models using Sequential API
Implementing models using Functional API
Customizing models with model subclassing
Compiling, training, and evaluating models
• Handling Data with Keras
Preprocessing and preparing data
Using Keras Datasets
Data augmentation for improving model performance
• Advanced Features in Keras
Custom layers and activations
Callbacks and custom training logic
Transfer learning with Keras
• Integrating Keras with TensorFlow
Leveraging TensorFlow features in Keras
Model deployments using TensorFlow Serving
Using TensorFlow Lite for mobile and edge devices
• Real-world Applications and Case Studies
Solving business problems with Keras
Industry-specific use cases
Building AI solutions for practical business scenarios
• Best Practices and Model Performance
Model optimization and tuning
Strategies for avoiding overfitting
Experiment tracking and version control
• Conclusion and Future of Keras
Recap of key learnings
Current trends and future directions in Keras
Resources for further learning and development in AI
• Course Project
Building a complete machine learning project using Keras
Presentations and feedback sessions

---

Subjects

Conference Talks