Free Download Deep Learning with TensorFlow and Keras:
Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
English | 2022 | ISBN: 9781803232911 | 698 Pages | PDF EPUB (True) | 69 MB

Free Download Deep Learning on Microcontrollers: Learn how to develop embedded AI applications using TinyML (English Edition) by Atul Krishna Gupta, Dr. Siva Prasad Nandyala
English | April 15, 2023 | ISBN: 9355518056 | 300 pages | MOBI | 11 Mb
A step-by-step guide that will teach you how to deploy TinyML on microcontrollers

Free Download Deep Learning for Genomics: Data-driven approaches for genomics applications in life sciences and biotechnology by Upendra Kumar Devisetty
English | November 11, 2022 | ISBN: 1804615447 | 270 pages | MOBI | 8.92 Mb
Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industries

Free Download Deep Learning for Data Architects: Unleash the power of Python's deep learning algorithms
English | 2024 | ISBN: 9355515391 | 389 Pages | PDF EPUB (True) | 31 MB
The book begins by addressing the challenges of transforming raw data into actionable insights. It provides a practical understanding of data handling and covers the construction of neural network-based predictive models. The book then explores specialized networks such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). The book delves into the theory and practical aspects of these networks and offers Python code implementations for each. The final chapter of the book introduces Transformers, a revolutionary model that has had a significant impact on natural language processing (NLP). This chapter provides you with a thorough understanding of how Transformers work and includes Python code implementations.

Free Download Deep Learning for Biomedical Image Reconstruction
English | 2023 | ISBN: 1316517519 | 365 Pages | PDF | 19 MB
Discover the power of deep neural networks for image reconstruction with this state-of-the-art review of modern theories and applications. The background theory of deep learning is introduced step-by-step, and by incorporating modeling fundamentals this book explains how to implement deep learning in a variety of modalities, including X-ray, CT, MRI and others. Real-world examples demonstrate an interdisciplinary approach to medical image reconstruction processes, featuring numerous imaging applications. Recent clinical studies and innovative research activity in generative models and mathematical theory will inspire the reader towards new frontiers. This book is ideal for graduate students in Electrical or Biomedical Engineering or Medical Physics.

Free Download Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection
English | 2023 | ISBN: 9819949726 | 224 Pages | PDF EPUB (True) | 51 MB
This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep convolutional neural network technology have also been proposed. This book can be used as a reference for teachers and students majoring in agriculture, computer science, artificial intelligence, intelligent science and technology, and other related fields in higher education institutions. It can also be used as a reference book for researchers in fields such as image processing technology, intelligent manufacturing, and high-tech applications.

Free Download Continuous Machine Learning with Kubeflow: Performing Reliable MLOps with Capabilities of TFX, Sagemaker and Kubernetes (English Edition) by Aniruddha Choudhury
English | November 20, 2021 | ISBN: 9389898501 | 330 pages | MOBI | 8.42 Mb
An insightful journey to MLOps, DevOps, and Machine Learning in the real environment.

Free Download Contested Learning in Welfare Work: A Study of Mind, Political Economy, and the Labour Process (Learning in Doing: Social, Cognitive and Computational Perspectives) by Peter H. Sawchuk
English | June 17, 2013 | ISBN: 1107034671 | 392 pages | PDF | 8.65 Mb
Drawing on the field of cultural historical psychology and the sociologies of skill and labour process, Contested Learning in Welfare Work offers a detailed account of the learning lives of state welfare workers in Canada as they cope, accommodate, resist, and flounder in times of heightened austerity. Documented through in-depth qualitative and quantitative analysis, Peter Sawchuk shows how the labour process changes workers, and how workers change the labour process, under the pressures of intensified economic conditions, new technologies, changing relations of space and time, and a high-tech version of Taylorism. Sawchuk traces these experiences over a seven-year period that includes major work reorganization and the recent economic downturn. His analysis examines the dynamics between notions of de-skilling, re-skilling, and up-skilling, as workers negotiate occupational learning and changing identities.

Free Download Computational Methods for Deep Learning: Theory, Algorithms, and Implementations
English | 2023 | ISBN: 9819948223 | 467 Pages | PDF EPUB (True) | 25 MB
The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book.

Free Download Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (English Edition) by Mohan Kumar Silaparasetty
English | February 9, 2022 | ISBN: 9355510470 | 286 pages | MOBI | 14 Mb
A Practicing Guide to TensorFlow and Deep Learning