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MANUFACTURING TECHNOLOGY VOL-1, FOUNDARY, FORMING AND WELDING

MANUFACTURING TECHNOLOGY VOL-1, FOUNDARY, FORMING AND WELDING

₹225 ₹299
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Key Features Comprehensive coverage on all topics. Language is simple and style is very student friendly. Concepts are explained quite well by means of related examples and problems. New in this edition : New chapter on Powder Metallurgy (Chapter 11). New chapter on Details of Tensile Testing (Chapter 2). New table on the properties of aluminium alloy (Chapter 2). Coverage on rapid prototyping (Chapter 3). Coverage on inoculation, degassing and ladles (Chapter 5). Coverage on vacuum die casting, low pressure die casting and squeeze casting (Chapter 6). Revised coverage on permanent mould casting and brazing (Chapter 6). Pedagogy : Solved Examples: 30 Chapter-end Exercise Questions: 496 Total Questions : 463 New chapter on Powder Metallurgy, New chapter on Details of Tensile Testing, New table on the properties of aluminium alloy. Coverage on rapid prototyping, inoculation, degassing and ladles, vacuum die casting, low pressure die casting and squeeze casting. Revised coverage on permanent mould casting and brazing The original 29 chapters in the book have been wrapped up in the present 10 chapters. This is to ensure that the content is concise and relevant and there is no repetition of topics. Table Of Contents Chapter 1. Introduction Chapter 2. Engineering Materials Chapter 3. Metal-Casting Processes Chapter 4. Gating Systems for Casting Chapter 5. Melting and Casting Quality Chapter 6. Special Casting Processes Chapter 7. Metal Forming

8 months ago
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Hadoop Operations

Hadoop Operations

₹500

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models

8 months ago
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