Expert Training

Mastering Neural Network Computer Vision with TensorFlow

Original price was: $49.99.Current price is: $4.99.

computer vision, tensorflow, keras, deep learning, AI image detection, neural networks, image recognition, ML applications, python AI

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Additional information

Additional information

Authors

(Jean Anoma) (Expert Training)

Publisher

Expert Training

Published On

2025-01-02

Language

English

Format

pdf

Size (MB)

53.35 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.41

Description

Mastering Neural Network Vision

Mastering Neural Network Vision is your complete guide to building intelligent computer vision systems using TensorFlow. This hands-on course equips learners with the tools and techniques to develop, train, and deploy neural networks that can recognize, classify, and analyze visual data effectively.

Course Description

In today’s AI-driven world, computer vision stands at the forefront of innovation. This course offers a comprehensive dive into the concepts of deep learning and neural networks, specifically tailored for visual processing tasks. Whether you’re working on image recognition, object detection, or real-time video analysis, this course will help you bridge theory and practice using TensorFlow—one of the most powerful open-source libraries for machine learning.

You’ll start by exploring the fundamentals of neural networks, followed by advanced convolutional architectures like CNNs, ResNet, and EfficientNet. Through guided labs and projects, you’ll apply your skills to real-world datasets, developing end-to-end solutions for practical computer vision challenges. Plus, we’ll cover TensorFlow best practices, model optimization, and deployment strategies.

What You’ll Learn

  • Foundations of neural networks and deep learning
  • Understanding convolutional neural networks (CNNs)
  • Implementing image classification models using TensorFlow
  • Techniques for object detection and segmentation
  • Data augmentation and preprocessing for vision tasks
  • Transfer learning with pre-trained models
  • Deploying TensorFlow models in production environments

Requirements

  • Basic understanding of Python programming
  • Familiarity with linear algebra and probability
  • Prior exposure to machine learning is helpful but not mandatory

About the Publication

This course was developed by seasoned AI and computer vision professionals who have trained thousands of developers in building and scaling vision-based applications. With years of industry experience and a focus on TensorFlow, the authors provide an actionable roadmap for both beginners and advanced learners.

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Additional information

Authors

(Jean Anoma) (Expert Training)

Publisher

Expert Training

Published On

2025-01-02

Language

English

Format

pdf

Size (MB)

53.35 MB

Rating

⭐️⭐️⭐️⭐️⭐️ 4.41

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