A sensible information to construction prime efficiency programs for item detection, segmentation, video processing, cellphone packages, and extra.

Key Features

  • Discover methods to construct, educate, and serve your personal deep neural networks with TensorFlow 2 and Keras
  • Apply up to date answers to a variety of packages equivalent to item detection and video research
  • Learn methods to run your Fashions on Cellular units and webpages and support their efficiency

Book Description

Computer Imaginative and prescient answers are changing into increasingly more not unusual, making their approach in fields equivalent to well being, automotive, social media, and robotics. This e book will permit you to discover TensorFlow 2, the up to date model of Google’s open supply framework for gadget finding out. You’ll be aware methods to take pleasure in the use of convolutional neural networks (CNNs) for visible duties.

Hands-On Laptop Imaginative and prescient with TensorFlow 2 begins with the basics of Laptop Imaginative and prescient and deep finding out, instructing you methods to construct a neural community from scratch. You’ll uncover the options that experience made TensorFlow essentially the most extensively used AI library, in conjunction with its intuitive Keras interface, and transfer directly to construction, Coaching, and deploying CNNs successfully. Entire with concrete code examples, the e book demonstrates methods to classify pictures with up to date answers, equivalent to Inception and ResNet, and extract explicit content material the use of You Most effective Glance As soon as (YOLO), Masks R-CNN, and U-Internet. You’ll additionally construct Generative Opposed Networks (GANs) and Variational Car-Encoders (VAEs) to create and edit pictures, and LSTMs to research movies. Within the procedure, You’ll achieve complicated insights into switch finding out, information augmentation, area version, and Cellular and internet deployment, amongst different key ideas.

By the tip of the e book, You’ll have each the theoretical figuring out and sensible talents to resolve complicated Laptop Imaginative and prescient issues of TensorFlow 2.0.

What You’ll learn

  • Create your personal neural networks from scratch
  • Classify pictures with up to date architectures together with Inception and ResNet
  • Detect and phase items in pictures with YOLO, Masks R-CNN, and U-Internet
  • Tackle issues in creating self-riding automobiles and facial emotion reputation programs
  • Boost your utility’s efficiency with switch finding out, GANs, and area version
  • Use recurrent neural networks for video research
  • Optimize and installation your networks on Cellular units and Within the browser

Who this e book is for

If you are new to deep finding out and feature a few historical past in Python programming and symbol processing, like studying/writing symbol recordsdata and modifying pixels, this e book is for you. Even though you are a professional curious in regards to the new TensorFlow 2 options, you’ll be able to in finding this e book helpful.

While a few theoretical causes require wisdom in algebra and calculus, the e book covers concrete examples for inexperienced persons fascinated with sensible packages equivalent to visible reputation for self-riding automobiles and cellphone apps.

Table of Contents

  1. Computer Imaginative and prescient and Neural Networks
  2. TensorFlow Fundamentals and Coaching a Model
  3. Modern Neural networks
  4. Influential Category Tools
  5. Object Detection Models
  6. Enhancing and Segmenting Images
  7. Training on Complicated and Scarce Datasets
  8. Video and Recurrent Neural Networks
  9. Optimizing Fashions and Deploying on Cellular Devices
  10. Appendix