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JAVASCRIPT AND NODE.JS AI TOOLKIT [#981269]
Free Download jаvascript AND NODE.JS AI TOOLKIT: BUILD SMART WEB APPS WITH TENSORFLOW.JS IN THE NEW AI AGE: A STEP-BY-STEP DEVELOPER'S GUIDE TO REAL-WORLD APPLICATIONS USING jаvascript, NODE.JS AND TENSORFLOW.JS by JP RAYNER
English | May 27, 2025 | ISBN: N/A | ASIN: B0FB47CRC3 | 460 pages | EPUB | 0.32 Mb
jаvascript + Node.js AI Toolkit: Build Smart Web Apps with TensorFlow.js in the New AI Age
Subtitle: A Step-by-Step Developer's Guide to Creating Intelligent, Real-World Applications Using jаvascript, Node.js, and TensorFlow.js
What You'll Learn (Chapter Highlights):
Chapter 1: Introduction to AI with jаvascript and Node.js
Understand the fundamentals of artificial intelligence, machine learning, and deep learning - and learn why jаvascript is the perfect language to bring AI to the web.
Chapter 2: Setting Up Your Development Environment
Get hands-on with configuring your jаvascript and Node.js environment, installing TensorFlow.js, and preparing your tools for scalable, real-world AI projects.
Chapter 3: Fundamentals of TensorFlow.js
Master the basics of TensorFlow.js, including tensors, operations, models, and training pipelines, with clear examples you can run directly in your browser or Node.js apps.
Chapter 4: Data Preparation and Management
Learn how to clean, preprocess, and manage datasets for machine learning models - a crucial step for any successful AI application.
Chapter 5: Building Your First AI Web App
Follow a complete walkthrough to create your first end-to-end AI web application, using jаvascript and TensorFlow.js to deliver live predictions.
Chapter 6: Deploying AI Models in Node.js
Explore backend deployment strategies, server integration, and how to scale AI models effectively using Node.js.
Chapter 7: Understanding Pretrained Models
Tap into the power of pretrained models, including MobileNet, BERT, and Universal Sentence Encoder, to accelerate your development.
Chapter 8: Fine-Tuning Models for Your Use Case
Learn how to adapt and fine-tune existing models on your own data, improving performance and targeting specific tasks or domains.
Chapter 9: Building Interactive User Interfaces
Design engaging, interactive web interfaces that let users input data, visualize predictions, and explore AI outputs in real time.
Chapter 10: Advanced Topics - Multimodal AI and More
Dive into multimodal AI, combining text, image, and audio data streams, and explore cutting-edge architectures beyond simple classifiers.
Chapter 11: Mastering Transformers with TensorFlow.js
Uncover the secrets of transformers, attention mechanisms, and large language models, and learn how to integrate them into jаvascript apps.
Chapter 12: Advanced Architectures and Responsible AI
Explore diffusion models, retrieval-augmented generation (RAG), graph neural networks, and best practices in responsible, ethical AI development.
Chapter 13: Final Project - Building a Complete AI Application
Put it all together in a full-stack, real-world AI application that combines a Q&A system, image generation, and multimodal outputs.
Chapter 14: Final Mastery - Sustaining Your AI Journey
Learn how to continue advancing your skills, position yourself for long-term success, and navigate the evolving world of AI with confidence.
Key Features:Clear, beginner-friendly explanations of complex AI topicsReal-world projects and walkthroughs you can build and expandHands-on coding exercises for every chapterQuizzes and summaries to reinforce key conceptsResponsible AI practices baked into every stage of developmentFinal portfolio project that showcases your mastery
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