LEARN TENSORFLOW Master AI Model Development with Scalability and Precision. From Fundamentals to Practical Applications. This comprehensive guide is aimed at developers and students who want to create robust, high-performance, and scalable solutions with TensorFlow. You will learn to apply deep learning efficiently, master data pipelines, build advanced models, and deploy them professionally into production. Includes: - Tensor manipulation and model structuring with Keras - Building and training CNNs, RNNs, ...
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LEARN TENSORFLOW Master AI Model Development with Scalability and Precision. From Fundamentals to Practical Applications. This comprehensive guide is aimed at developers and students who want to create robust, high-performance, and scalable solutions with TensorFlow. You will learn to apply deep learning efficiently, master data pipelines, build advanced models, and deploy them professionally into production. Includes: - Tensor manipulation and model structuring with Keras - Building and training CNNs, RNNs, Transformers, and GANs - Regularization techniques, hyperparameter tuning, and performance optimization - Practical implementation with tf.data, TensorBoard, and TensorFlow Lite - Deployment with TensorFlow Serving, IoT integration, and use of GPUs and TPUs - Real-world cases in NLP, computer vision, healthcare, and enterprise systems By the end, you'll be fully equipped to develop TensorFlow applications for critical scenarios and scalable environments with technical excellence. tensorflow, keras, deep learning, cnn, rnn, gpu, deployment, iot, scalable models
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Add this copy of Learn Tensorflow: From Fundamentals to Practical to cart. $20.99, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
Add this copy of Learn Tensorflow: From Fundamentals to Practical to cart. $21.14, new condition, Sold by Just one more Chapter rated 3.0 out of 5 stars, ships from Miramar, FL, UNITED STATES, published 2025 by Independently published.
