{"product_id":"deep-learning-with-tensorflow-and-keras-in-python-a-hands-on-guide-to-building-neural-networks-with-python-build-ai-systems-with-cnns-rnns-and-tra-9798289924872","title":"Deep Learning with TensorFlow and Keras in Python: A Hands-On Guide to Building Neural Networks with Python: Build AI Systems with CNNs, RNNs, and Tra","description":"\u003cp\u003e • Author(s): Pythquill Publishing\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhat You Will Learn in This Book\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eBuild a Solid Foundation in Deep Learning: \u003c\/b\u003e Gain a clear understanding of the core concepts of AI, machine learning, and deep learning, including the power of neural networks and the factors driving their current popularity.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eMaster the TensorFlow and Keras Ecosystem: \u003c\/b\u003e Learn to use TensorFlow 2.x and Keras to build, train, and evaluate your own deep learning models. You'll understand key components like Tensors, Layers, Optimizers, and Loss Functions, and learn to set up your own complete deep learning environment.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eCreate Your Own Neural Networks: \u003c\/b\u003e Get hands-on experience building foundational neural networks for classification and regression problems, learning the complete Keras workflow from defining models to making predictions and visualizing training history.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003ePrevent Common Modeling Pitfalls: \u003c\/b\u003e Understand the critical concepts of overfitting and underfitting and learn practical regularization techniques like \u003cb\u003eDropout\u003c\/b\u003e, \u003cb\u003eL1\/L2 regularization\u003c\/b\u003e, and \u003cb\u003eEarly Stopping\u003c\/b\u003e to build more robust and generalizable models.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDevelop Advanced Computer Vision Solutions: \u003c\/b\u003e Master \u003cb\u003eConvolutional Neural Networks (CNNs)\u003c\/b\u003e and their core components to build powerful image classification models. You'll learn how to work with image data, apply data augmentation, and use state-of-the-art \u003cb\u003epre-trained models\u003c\/b\u003e with \u003cb\u003etransfer learning\u003c\/b\u003e.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eWork with Sequential Data like Text and Time Series: \u003c\/b\u003e Dive into \u003cb\u003eRecurrent Neural Networks (RNNs)\u003c\/b\u003e, including LSTMs and GRUs, to handle sequential data. You'll learn to prepare data for time series forecasting and perform sentiment analysis on text using \u003cb\u003eword embeddings\u003c\/b\u003e.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eExplore Cutting-Edge Architectures: \u003c\/b\u003e Get a conceptual introduction to advanced models like \u003cb\u003eAutoencoders\u003c\/b\u003e for dimensionality reduction, \u003cb\u003eGenerative Adversarial Networks (GANs)\u003c\/b\u003e for creating new data, and the groundbreaking \u003cb\u003eTransformer architecture\u003c\/b\u003e that powers modern NLP.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eDeploy Your Models to Production: \u003c\/b\u003e Learn how to save your trained models in the recommended \u003cb\u003eSavedModel format\u003c\/b\u003e and explore different deployment strategies using \u003cb\u003eTensorFlow Serving\u003c\/b\u003e for web applications, \u003cb\u003eTensorFlow Lite\u003c\/b\u003e for mobile devices, and more.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eEnhance Model Performance and Interpretability: \u003c\/b\u003e Discover techniques for \u003cb\u003ehyperparameter tuning\u003c\/b\u003e to optimize your models, and use tools like \u003cb\u003eTensorBoard\u003c\/b\u003e for visualization and debugging. You will also learn the basics of \u003cb\u003eExplainable AI (XAI)\u003c\/b\u003e to understand and interpret your model's predictions.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eNavigate the Ethical Landscape of AI: \u003c\/b\u003e Understand the challenges of bias, fairness, and accountability in deep learning models and learn about responsible AI development practices.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47577010110615,"sku":"9798289924872","price":1986.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798289924872.webp?v=1774902326","url":"https:\/\/atlanticbooks.com\/products\/deep-learning-with-tensorflow-and-keras-in-python-a-hands-on-guide-to-building-neural-networks-with-python-build-ai-systems-with-cnns-rnns-and-tra-9798289924872","provider":"Atlantic Books","version":"1.0","type":"link"}