{"product_id":"tensorflow-machine-learning-tutorial-for-developers-build-optimize-and-deploy-production-ready-models-9798287212896","title":"TensorFlow Machine Learning Tutorial for Developers: Build, Optimize, and Deploy Production-Ready Models","description":"\u003cp\u003e • Author(s): Dwayne Flores\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAre you ready to conquer the complexities of TensorFlow and deliver real‐world machine learning systems that scale? Many developers struggle to move beyond proof-of-concepts-models that work on a laptop but buckle under production demands.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTensorFlow Machine Learning Tutorial for Developers\u003c\/b\u003e provides the step-by-step playbook you need to build, optimize, and deploy production-ready models with confidence. From crafting high-throughput data pipelines and writing custom training loops with tf.GradientTape to applying mixed-precision, pruning, and quantization, this book transforms theory into practice. You'll master end-to-end workflows-containerized training on GPUs, serving with TensorFlow Serving or FastAPI, autoscaling in Kubernetes, serverless inference on Cloud Functions, and continuous retraining with TFX.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat you'll achieve: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEfficient Data Engineering: \u003c\/b\u003e Implement tf.data pipelines that load, augment, and shard data for multi-GPU\/TPU training.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eAdvanced Model Development: \u003c\/b\u003e Build models using tf.keras Sequential and Functional APIs, custom layers, attention blocks, and transfer learning modules.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003ePerformance Tuning: \u003c\/b\u003e Apply mixed-precision training, XLA compilation, and distribution strategies to accelerate throughput.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEdge and Cloud Deployment: \u003c\/b\u003e Package models in Docker, deploy on Kubernetes with autoscaling, or host serverless TFLite microservices on AWS Lambda and Cloud Run.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eRobust MLOps Practices: \u003c\/b\u003e Set up monitoring with Prometheus, Grafana, TensorBoard, detect data drift with TFDV, and automate CI\/CD via GitHub Actions.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eAre you curious how to scale a Transformer-based chatbot, run inference on a microcontroller, or automate a TFX pipeline that retrains itself? This hands-on guide delivers complete, ready-to-run code examples-no fluff, no theory overload.\u003c\/p\u003e\u003cp\u003eTake the next step to transform your machine learning skills into production excellence. Grab your copy of \u003cb\u003eTensorFlow Machine Learning Tutorial for Developers\u003c\/b\u003e today and start building models that perform, scale, and endure.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46335413485719,"sku":"9798287212896","price":2431.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798287212896.webp?v=1768674859","url":"https:\/\/atlanticbooks.com\/products\/tensorflow-machine-learning-tutorial-for-developers-build-optimize-and-deploy-production-ready-models-9798287212896","provider":"Atlantic Books","version":"1.0","type":"link"}