Singh sujit (86 risultati)

Condizione: New.

Condizione: New.

Hardback or Cased Book. Condizione: New. Golden Key To Success And Happiness. Book.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 49 pages. 8.00x5.00x0.12 inches. In Stock.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 67 pages. 9.00x6.00x0.17 inches. In Stock.

Paperback. Condizione: Brand New. 52 pages. 9.00x6.00x0.13 inches. In Stock.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condizione: New. ISBN:9789349532816 N.A.

Soft cover. Condizione: New. ISBN:9789394023970.

Paperback. Condizione: NEW. International Edition, Brand New, ISBN and Cover same but contents similar to U.S. Edition, We ship from multiple Locations including India. Legal to use despite any disclaimer, We ship to PO , APO and FPO adresses in U.S.A. Ship from multiple Locations including India Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed.…

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. pp. 133.

Condizione: New. pp. 133.

Hardcover. Condizione: Brand New. 186 pages. 5.50x0.50x8.50 inches. In Stock.

Condizione: New. pp. 133.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. pp. 761.

Paperback. Condizione: New. Leverage the power of deep learning and Keras to develop smarter and more efficient data modelsKey FeaturesUnderstand different neural networks and their implementation using KerasExplore recipes for training and fine-tuning your neural network modelsPut your deep learning knowledge to practice with real-world use-cases, tips, and tricksBook DescriptionKeras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy.The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. From loading data to fitting and evaluating your model for optimal performance, you will work through a step-by-step process to tackle every possible problem faced while training deep models. You will implement convolutional and recurrent neural networks, adversarial networks, and more with the help of this handy guide. In addition to this, you will learn how to train these models for real-world image and language processing tasks. By the end of this book, you will have a practical, hands-on understanding of how you can leverage the power of Python and Keras to perform effective deep learningWhat you will learnInstall and configure Keras in TensorFlowMaster neural network programming using the Keras libraryUnderstand the different Keras layersUse Keras to implement simple feed-forward neural networks, CNNs and RNNsWork with various datasets and models used for image and text classificationDevelop text summarization and reinforcement learning models using KerasWho this book is forKeras Deep Learning Cookbook is for you if you are a data scientist or machine learning expert who wants to find practical solutions to common problems encountered while training deep learning models. A basic understanding of Python and some experience in machine learning and neural networks is required for this book.…

Condizione: New.

Condizione: New.

Hardcover. Condizione: New. 1st Edition. Contents: 1. Introduction. 2. Biodiversity of medicinal and aromatic plants in North East India. 3. Cultivation techniques of medicinal and aromatic plants. 4. Trade and market chain of MAPs. 5. Conservation of medicinal and aromatic plants. 6. Necessity for establishment of herbal garden. 7. Common MAP species of North-East India. 8. Specific species (origin) in each state. This book highlights the business opportunities of highly traded medicinal and aromatic plants in the north eastern states of India. The book covers five north eastern states: Assam, Arunachal Pradesh, Meghalaya, Nagaland, and Sikkim. Major aspects, like documentation of highly traded species, their uses and their economic importance, export potential and exploitation in the north eastern states are covers, and could ultimately be used to formulate environment-friendly business plans.…

Condizione: New.

Soft cover. Condizione: New. This textbook serves as an essential resource for students, researchers, and professionals immersed in the intricacies of seed science and technology. The comprehensive exploration of seed-related topics spans various chapters, each meticulously presented on separate pages for ease of reference. Commencing with a historical overview of the seed industry in India, the book systematically addresses key facets such as seed formation, germination, and development. Each chapter is dedicated to specific elements of seed technology, offering insights into policy frameworks, testing procedures, and the planning of seed production. Crop-specific chapters, thoughtfully laid out on distinct pages, provide in-depth knowledge on production techniques for cereals, oilseeds, pulse crops, and vegetables. The complexities of hybrid seed production are elucidated in a manner that offers a holistic understanding of modern seed breeding practices. The legal and regulatory landscape surrounding seeds is meticulously explored, covering seed certification, laws and international trade regulations. Intellectual property rights and the role of the World Trade Organization in safeguarding plant varieties and farmers' rights are scrutinized in separate sections. This dynamic resource is not a mere compilation of facts but a guide that addresses contemporary challenges and opportunities in seed science. With each chapter thoughtfully presented on distinct pages, the book is structured to facilitate easy navigation and quick reference.…

Hardcover. Condizione: New. ISBN:9789353870461.

Condizione: New.