000			03143nam a22003017a 4500
003			OSt
005			20260602170301.0
008			260428b |||||||| |||| 00| 0 eng d
020			_a9781633436589
041			_aeng
082			_a006.31 CHO-D
100			_aChollet, François. _981032
245			_aDeep learning with Python
250			_a3rd
260			_aShelter Island, NY _bManning Publications, _c2026
300			_axxii, 621p.
505			_aTable of Contents 1 What is deep learning? 2 The mathematical building blocks of neural networks 3 Introduction to TensorFlow, PyTorch, JAX, and Keras 4 Classification and regression 5 Fundamentals of machine learning 6 The universal workflow of machine learning 7 A deep dive on Keras 8 Image classification 9 ConvNet architecture patterns 10 Interpreting what ConvNets learn 11 Image segmentation 12 Object detection 13 Timeseries forecasting 14 Text classification 15 Language models and the Transformer 16 Text generation 17 Image generation 18 Best practices for the real world 19 The future of AI 20 Conclusions
520			_aDeep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python. In Deep Learning with Python, Third Edition you’ll discover: • Deep learning from first principles • The latest features of Keras 3 • A primer on JAX, PyTorch, and TensorFlow • Image classification and image segmentation • Time series forecasting • Large Language models • Text classification and machine translation • Text and image generation—build your own GPT and diffusion models! • Scaling and tuning models With over 100,000 copies sold, Deep Learning with Python makes it possible for developers, data scientists, and machine learning enthusiasts to put deep learning into action. In this expanded and updated third edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. You'll master state-of-the-art deep learning tools and techniques, from the latest features of Keras 3 to building AI models that can generate text and images.
520			_aDeep Learning with Python, Third Edition makes the concepts behind deep learning and generative AI understandable and approachable. This complete rewrite of the bestselling original includes fresh chapters on transformers, building your own GPT-like LLM, and generating images with diffusion models. Each chapter introduces practical projects and code examples that build your understanding of deep learning, layer by layer.
650			_aArtificial intelligence _981033
650			_aMachine learning _981034
650			_aDeep learning (DL) _981035
650			_aDeep learning _xArtificial intelligence _981036
650			_aPython _xComputer program language _981037
700			_aWatson, Matthew _981038
942			_cBK
999			_c200026 _d200026