Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
Overview of TensorFlow
- Understanding TensorFlow
- Key features of TensorFlow
Introduction to AI
- Computational Psychology
- Computational Philosophy
Machine Learning
- Computational learning theory
- Computer algorithms for computational experience
Deep Learning
- Artificial neural networks
- Differences between deep learning and machine learning
Setting Up the Development Environment
- Installing and configuring TensorFlow
TensorFlow Quick Start
- Working with nodes
- Using the Keras API
Fraud Detection Techniques
- Reading and writing data
- Feature preparation
- Data labeling
- Data normalization
- Splitting data into training and testing sets
- Formatting input images
Predictions and Regressions
- Loading a pre-trained model
- Visualizing predictions
- Creating regression models
Classifications
- Building and compiling a classifier model
- Training and testing the model
Summary and Conclusion
Requirements
- Experience with Python programming
Audience
- Data Scientists
14 Hours
Testimonials (2)
The adaptation of exos to our context and the consideration of our request
Amel Guetat - EURO-INFORMATION DEVELOPPEMENTS
Course - Fraud Detection with Python and TensorFlow
Machine Translated
The trainer was able to adapt the exercises to our use cases
Stephane MATHIS - EURO-INFORMATION DEVELOPPEMENTS
Course - Fraud Detection with Python and TensorFlow
Machine Translated
