Deep Learning for Computer Vision

Dive into the world of deep learning and computer vision with 'Deep Learning for Computer Vision'. This comprehensive guide introduces advanced techniques for building and training neural networks to tackle image-based tasks like object detection, image classification, and more using TensorFlow and Keras.

What this Book will help me do

• Set up a practical development environment for deep learning with TensorFlow and Keras.
• Implement models for tasks such as image classification and video analysis.
• Learn the theory and application of convolutional neural networks using practical examples.
• Master advanced techniques like generative models for image creation and neural features for image retrieval.
• Optimize and deploy deep learning models for efficient and scalable computer vision applications.

Author(s)

Author None Shanmugamani is an experienced data scientist specializing in machine learning and computer vision. With a strong background in deep learning technologies and practical application development, Shanmugamani brings clarity and depth to complex topics. Their passion for making AI accessible is evident throughout the book.

Who is it for?

This book is ideal for data scientists, machine learning engineers, and practitioners in computer vision who wish to deepen their understanding of deep learning for visual tasks. It assumes familiarity with Python programming and a basic grasp of machine learning concepts. If you're looking to solve complex visual problems using modern tools, this book is for you.