Exploring Deep Learning Models by Sarkar Souradeep (7 results)

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Paperback. Condition: new. Paperback. Exploring Deep Learning Models: Concepts and Applications provides a comprehensive introduction to deep learning, covering its fundamentals, mathematical foundations, neural network architectures, and real-world applications. The book explains key models such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), Autoencoders, Generative Adversarial Networks (GANs), and Transformers. It combines theoretical concepts with practical Python implementations using TensorFlow, Keras, and PyTorch. The book also explores applications in computer vision, natural language processing, healthcare, finance, agriculture, robotics, IoT, and smart systems, while discussing emerging topics such as Explainable AI (XAI), transfer learning, and ethical AI, making it a valuable resource for students, researchers, educators, and professionals. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Exploring Deep Learning Models: Concepts and Applications provides a comprehensive introduction to deep learning, covering its fundamentals, mathematical foundations, neural network architectures, and real-world applications. The book explains key models such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), Autoencoders, Generative Adversarial Networks (GANs), and Transformers. It combines theoretical concepts with practical Python implementations using TensorFlow, Keras, and PyTorch. The book also explores applications in computer vision, natural language processing, healthcare, finance, agriculture, robotics, IoT, and smart systems, while discussing emerging topics such as Explainable AI (XAI), transfer learning, and ethical AI, making it a valuable resource for students, researchers, educators, and professionals. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Exploring Deep Learning Models: Concepts and Applications | Souradeep Sarkar (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630342239 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Paperback. Condition: new. Paperback. Exploring Deep Learning Models: Concepts and Applications provides a comprehensive introduction to deep learning, covering its fundamentals, mathematical foundations, neural network architectures, and real-world applications. The book explains key models such as Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, GRUs, Graph Neural Networks (GNNs), Graph Convolutional Networks (GCNs), Autoencoders, Generative Adversarial Networks (GANs), and Transformers. It combines theoretical concepts with practical Python implementations using TensorFlow, Keras, and PyTorch. The book also explores applications in computer vision, natural language processing, healthcare, finance, agriculture, robotics, IoT, and smart systems, while discussing emerging topics such as Explainable AI (XAI), transfer learning, and ethical AI, making it a valuable resource for students, researchers, educators, and professionals. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…