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further experimentation. With Artificial Neural Networks with TensorFlow 2 you'll see just how wide the range of TensorFlow's capabilities are;
Vergelijkbare producten zoals Artificial Neural Networks with TensorFlow 2
TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with;
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Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;
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Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x About This Book * Skill up;
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techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book DescriptionTensorFlow;
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learning, machine learning, and artificial intelligence and helps you get comfortable with the TensorFlow 2.0 programming structure using hands-on;
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classification with TensorFlow * Design and train a multilayer neural network with TensorFlow * Intuitively understand convolutional neural networks;
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models, model evaluation, sentiment analysis, regression analysis, artificial neural networks, and deep learning - each using Google's machine;
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Linear Regression techniques with TensorFlow * Learn SVMs with hands-on recipes * Implement neural networks and improve predictions * Apply;
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of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy;
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This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;
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more Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern;
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wants to get started with machine learning and TensorFlow, or a data scientist interested in developing neural network solutions in TF 2.0, this;
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Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch;
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This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include a;
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to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you'll get into the heavy;
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This book gathers the most current research from across the globe in the study of artificial neural networks. Topics discussed include;
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Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially;
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This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;
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Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;
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and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new;
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, and the analysis of artificial neural networks; and the application aspect dealing with applications of artificial neural networks in a broad;
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learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects;
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characteristics. You will also be introduced to artificial neural networks and TensorFlow, and how it is used to create neural networks. In the final;
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Fun and exciting projects to learn what artificial minds can create Key Features Code examples are in TensorFlow 2, which make it;
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Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;
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TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks;
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