ghosh tamoghna (19 risultati)

Condizione: New.

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

Condizione: New.

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

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New. Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystemKey FeaturesBuild deep learning models with transfer learning principles in Pythonimplement transfer learning to solve real-world research problemsPerform complex operations such as image captioning neural style transferBook DescriptionTransfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP).By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems.What you will learnSet up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL modelsExplore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functionsGet to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLPWho this book is forHands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.

Condizione: New. pp. 438.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems.

Condizione: Gut. Zustand: Gut | Seiten: 528 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Paperback. Condizione: New. Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystemKey FeaturesBuild deep learning models with transfer learning principles in Pythonimplement transfer learning to solve real-world research problemsPerform complex operations such as image captioning neural style transferBook DescriptionTransfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP).By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems.What you will learnSet up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL modelsExplore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functionsGet to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLPWho this book is forHands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.

Buch. Condizione: Neu. Neuware - The central theme of this novella revolves around the exploration of human consciousness, the reality of existence, and an introspective quest for truth. It tells the story of a young man who dedicates his life to the pursuit and establishment of truth. Through questions and answers about conventional social beliefs, morality, faith, and the existence of God, the novel takes readers on a profound philosophical journey.

Condizione: New. PRINT ON DEMAND.

Condizione: New. Print on Demand pp. 438.

Condizione: New. PRINT ON DEMAND pp. 438.

Paperback. Condizione: new. Paperback. The central theme of this novella revolves around the exploration of human consciousness, the reality of existence, and an introspective quest for truth. It tells the story of a young man who dedicates his life to the pursuit and establishment of truth. Through questions and answers about conventional social beliefs, morality, faith, and the existence of God, the novel takes readers on a profound philosophical journey. The philosophy of Immanuel is not merely idealistic; rather, it presents a deep analysis of reality. It is as much Eastern as it is Western-a unique and profound blend of mythology and philosophy. The novel sheds light on certain lesser-discussed aspects of Jesus Christ's life, offering a fresh perspective on His personality, psychological struggles, and search for inner truth. Crafted with a fusion of ancient wisdom and modern reasoning, this book is more than just a story-it is an opening to a new realm of thought. For those who enjoy contemplating life, existence, and God, Immanuel is a remarkable creation. It is not just meant to be read-it is meant to be experienced. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. The central theme of this novella revolves around the exploration of human consciousness, the reality of existence, and an introspective quest for truth. It tells the story of a young man who dedicates his life to the pursuit and establishment of truth. Through questions and answers about conventional social beliefs, morality, faith, and the existence of God, the novel takes readers on a profound philosophical journey. The philosophy of Immanuel is not merely idealistic; rather, it presents a deep analysis of reality. It is as much Eastern as it is Western-a unique and profound blend of mythology and philosophy. The novel sheds light on certain lesser-discussed aspects of Jesus Christ's life, offering a fresh perspective on His personality, psychological struggles, and search for inner truth. Crafted with a fusion of ancient wisdom and modern reasoning, this book is more than just a story-it is an opening to a new realm of thought. For those who enjoy contemplating life, existence, and God, Immanuel is a remarkable creation. It is not just meant to be read-it is meant to be experienced. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.