＜p＞＜b＞Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the
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＜p＞＜b＞Learn how to solve real life problems using different methods like logic regression, random fo
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＜p＞＜b＞Run efficient deep learning models on Apache Spark using TensorFlow and Keras＜/b＞＜/p＞＜h2＞Key F
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＜p＞Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary
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＜p＞＜b＞Implement machine learning and deep learning methodologies to build smart, cognitive AI projec
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出荷目安の詳細はこちら内容詳細畳み込みニューラルネットワークで実践する画像を用いた深層学習モデルの構築。Jupyter Notebook形式、TensorFlow1．5対応。TensorFlowの導入
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＜p＞＜b＞A hands-on guide enriched with examples to master deep reinforcement learning algorithms with
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＜p＞＜b＞A practical guide designed to get you from basics to current state of art in computer vision s
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＜p＞＜b＞Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow＜/b
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＜p＞＜b＞Leverage the power of reinforcement learning techniques to develop self-learning systems using
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＜p＞＜b＞Dive deeper into neural networks and get your models trained, optimized with this quick refere
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＜p＞＜b＞Learn how to model and train advanced neural networks to implement a variety of Computer Visio
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＜p＞Master reinforcement learning, a popular area of machine learning, starting with the basics: disc
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＜p＞Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the
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＜p＞＜b＞Build, scale, and deploy deep neural network models using the star libraries in Python ＜/b＞＜/p
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＜p＞＜b＞Take the next step in implementing various common and not-so-common neural networks with Tenso
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＜p＞＜b＞Leverage the power of Tensorflow to design deep learning systems for a variety of real-world s
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＜p＞＜b＞Write modern natural language processing applications using deep learning algorithms and Tenso
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＜p＞＜b＞Neural Networks and their implementation decoded with TensorFlow＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜
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＜p＞＜b＞Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and bu
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＜p＞＜b＞Unlock modern machine learning and deep learning techniques with Python by using the latest cu
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＜p＞Roughly inspired by the human brain, deep neural networks trained with large amounts of data can
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＜p＞＜b＞This book is your guide to exploring the possibilities in the field of deep learning, making u
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＜p＞＜b＞Powerful, independent recipes to build deep learning models in different application areas usi
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ご注文前に必ずご確認ください＜商品説明＞こんな人におすすめ:機械学習、データ分析の専門家ではないけど興味がある、ディープラーニングのアルゴリズムがどうなっているのか知りたい、TensorFlowの公式
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＜p＞＜b＞Delve into neural networks, implement deep learning algorithms, and explore layers of data abs
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中井悦司／著本詳しい納期他、ご注文時はご利用案内・返品のページをご確認ください出版社名マイナビ出版出版年月2016年09月サイズ263P 24cmISBNコード9784839960889コンピュータ
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＜p＞Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program
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出荷目安の詳細はこちら内容詳細目次 : 1 はじめに/ 2 Python/ 3 ニューラルネットワークの基盤となる考え方/ 4 深層学習理論/ 5 深層学習の現在/ 6 深層学習の
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＜p＞＜b＞Explore machine learning concepts using the latest numerical computing library ー TensorFlow ー
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