{"product_id":"deep-learning-for-beginners-a-beginners-guide-to-getting-up-and-running-with-deep-learning-from-scratch-using-python-paperback","title":"Deep Learning for Beginners: A beginner's guide to getting up and running with deep learning from scratch using Python - Paperback","description":"\u003cp\u003eby \u003cb\u003ePablo Rivas\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eImplementing supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine over TensorFlow.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUnderstand the fundamental machine learning concepts useful in deep learning\u003c\/li\u003e \u003cli\u003eLearn the underlying mathematical concepts as you implement deep learning models from scratch\u003c\/li\u003e \u003cli\u003eExplore easy-to-understand examples and use cases that will help you build a solid foundation in DL\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eWith information on the web exponentially increasing, it has become more difficult than ever to navigate through everything to find reliable content that will help you get started with deep learning. This book is designed to help you if you're a beginner looking to work on deep learning and build deep learning models from scratch, and already have the basic mathematical and programming knowledge required to get started.\u003c\/p\u003e \u003cp\u003eThe book begins with a basic overview of machine learning, guiding you through setting up popular Python frameworks. You will also understand how to prepare data by cleaning and preprocessing it for deep learning, and gradually go on to explore neural networks. A dedicated section will give you insights into the working of neural networks by helping you get hands-on with training single and multiple layers of neurons. Later, you will cover popular neural network architectures such as CNNs, RNNs, AEs, VAEs, and GANs with the help of simple examples, and you will even build models from scratch. At the end of each chapter, you will find a question and answer section to help you test what you've learned through the course of the book.\u003c\/p\u003e \u003cp\u003eBy the end of this book, you'll be well-versed with deep learning concepts and have the knowledge you need to use specific algorithms with various tools for different tasks.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eImplement RNNs and Long short-term memory for image classification and Natural Language Processing tasks\u003c\/li\u003e \u003cli\u003eExplore the role of CNNs in computer vision and signal processing\u003c\/li\u003e \u003cli\u003eUnderstand the ethical implications of deep learning modeling\u003c\/li\u003e \u003cli\u003eUnderstand the mathematical terminology associated with deep learning\u003c\/li\u003e \u003cli\u003eCode a GAN and a VAE to generate images from a learned latent space\u003c\/li\u003e \u003cli\u003eImplement visualization techniques to compare AEs and VAEs\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis book is for aspiring data scientists and deep learning engineers who want to get started with the fundamentals of deep learning and neural networks. Although no prior knowledge of deep learning or machine learning is required, familiarity with linear algebra and Python programming is necessary to get started.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 432\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.88 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 18, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42101737816199,"sku":"9781838640859","price":66.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/7ad69fd6f92a3f5a57819d1dfb2d4c3b.webp?v=1732396900","url":"https:\/\/booksby.splitshops.com\/products\/deep-learning-for-beginners-a-beginners-guide-to-getting-up-and-running-with-deep-learning-from-scratch-using-python-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}