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recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;
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Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly;
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effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python;
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learning library of choice for professional applications, while Keras offers a simple and powerful Python API for accessing TensorFlow. TensorFlow;
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Know the basics of deep learning in Python using Keras and PyTorch Be aware of basic data science concepts for measuring a model's;
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Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses;
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book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book. What You Will Learn * Optimize;
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required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing;
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Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning models;
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Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book;
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steht. Sie sammeln erste eigene Erfahrungen mit vorgegebenen Python-Programmen und verstehen so die Funktionsweise von neuronalen Netzen und;
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learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python Who This Book;
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kinds of deep learning model from scratch to solve specific problems in Computer Vision Combine the power of Python, Keras, and TensorFlow to;
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that sell for over $400k because they are so human-like. Advanced Deep Learning with Keras is a comprehensive guide to the advanced deep;
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TensorFlow and Keras, this workshop is for you. A solid understanding of Python and its packages, along with basic machine learning concepts, will;
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) and Python Apply machine learning and deep learning techniques with TensorFlow and Keras Discover the modern design patterns you should avoid;
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This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated;
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This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated;
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provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The;
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Get to grips with the essentials of deep learning by leveraging the power of Python Key Features Your one-stop solution to get started with;
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develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks;
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