Mohan Kumar V V (91 results)

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

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

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. pp. xii + 142.

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

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

Condition: New. pp. xii + 142.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret textKey FeaturesUnderstand how to implement deep learning with TensorFlow and KerasLearn the fundamentals of computer vision and image recognitionStudy the architecture of different neural networksBook DescriptionAre you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout.The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You'll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you'll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you'll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis.By the end of this deep learning book, you'll have learned the skills essential for building deep learning models with TensorFlow and Keras.What you will learnUnderstand how deep learning, machine learning, and artificial intelligence are differentDevelop multilayer deep neural networks with TensorFlowImplement deep neural networks for multiclass classification using KerasTrain CNN models for image recognitionHandle sequence data and use it in conjunction with RNNsBuild a GAN to generate high-quality synthesized imagesWho this book is forIf you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly.…

Condition: New. In English.

Paperback. Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: New. 1st Edition. Contents: 1. Integration of India and Major Islamic Markets of Asia-pacific Region with Morocco: A Cointegration and VECM Approach/Tanuj Nandan and Pravin Kumar Agrawal. 2. Supplier Relationship Practices (SRP) and Performance: A Study of Inter-Relationship with Reference to Indian Dairy Industry/Rajeev Kumar. 3. Determinants of Capital Adequacy ratio: A Study of Selected Nepali Commercial banks/Pawan Kumar Jha. 4. Role of behavioural Biases in Investment Decision-Making/Smita Datta and Anindita Chakraborty. 5. Drivers of Green Purchase intentions: Green Self-Efficacy and Perceived Consumer Effectiveness/Madan Lal and Nitika Sharma. 6. A Study of Efficient Market Hypothesis in Indian Stock market/Ishi Mohan. 7. Swachh Bharat Mission and Its Impact on the Perception of the people of Allahabad District: A critical Study/Vibhuti Tripathi and Jai Hind. 8. Values and belief Systems around Next generation organizations: An Estimate of Future/Aparna Singh and Usha Kiran Rai. 9. The Shift Sustainable Advantage to Transient Advantage: Role of Strategic leadership in-between/Pallavi Thacker and H.P. Mathur. 10. Payment Banks: A Possible Game Changer in Financial Inclusion in India/Siddhartha Rawat. 11. A Comparative Study of Public Sector and private Sector banks with Reference to Operational Risk capital Allocation and Its' Impact on Tier I Capital in Basel II/Amitabh Bhowmick. 12. Comparative Appraisal of Supply Chain Efficiencies of E-Retailing Portals and Their Selection/Avinash Bajpai. 13. Growth of herbal Products: A case study on Patanjali/Sandeep Kumar and Amit Gautam.…

Buch. Condition: Neu. Neuware - 1.Unlock the Secrets of the Stars-One Simple Step at a Time.

Condition: New. pp. xviii + 414.

Paperback. Condition: New. Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret textKey FeaturesUnderstand how to implement deep learning with TensorFlow and KerasLearn the fundamentals of computer vision and image recognitionStudy the architecture of different neural networksBook DescriptionAre you fascinated by how deep learning powers intelligent applications such as self-driving cars, virtual assistants, facial recognition devices, and chatbots to process data and solve complex problems? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep learning with the help of interesting examples and exercises throughout.The book starts by highlighting the relationship between deep learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on exercises. You'll understand neural networks, the structure of a perceptron, and how to use TensorFlow to create and train models. The book will then let you explore the fundamentals of computer vision by performing image recognition exercises with convolutional neural networks (CNNs) using Keras. As you advance, you'll be able to make your model more powerful by implementing text embedding and sequencing the data using popular deep learning solutions. Finally, you'll get to grips with bidirectional recurrent neural networks (RNNs) and build generative adversarial networks (GANs) for image synthesis.By the end of this deep learning book, you'll have learned the skills essential for building deep learning models with TensorFlow and Keras.What you will learnUnderstand how deep learning, machine learning, and artificial intelligence are differentDevelop multilayer deep neural networks with TensorFlowImplement deep neural networks for multiclass classification using KerasTrain CNN models for image recognitionHandle sequence data and use it in conjunction with RNNsBuild a GAN to generate high-quality synthesized imagesWho this book is forIf you are interested in machine learning and want to create and train deep learning models using TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will help you to learn the topics quickly.…

hardcover. Condition: Fine.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.