Titlebook: Beginning Deep Learning with TensorFlow; Work with Keras, MNI Liangqu Long,Xiangming Zeng Book 2022 Liangqu Long and Xiangming Zeng 2022 T

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Transport phenomena in membrane separationsonditional probability .(.| .) given the sample .. With the booming social network today, it is relatively easy to obtain massive sample data ., such as photos, voices, and texts, but the difficulty is to obtain the label information corresponding to these data. For example, in addition to collectin

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Fatty Acids and Growth Regulation Internet and mobile terminals. When we introduced the algorithm earlier, most of the datasets were commonly used classic datasets. The downloading, loading, and preprocessing of the dataset can be completed with a few lines of TensorFlow code, which greatly improves the research efficiency. In actu

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https://doi.org/10.1007/978-1-4842-7915-1TensorFlow; Deep Learning; Machine Learning; Keras; Deep Learning Fundamentals; Deep Learning real exampl

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Introduction to Artificial Intelligence,reatly facilitated people‘s daily lives. Through programming, humans can hand over the interaction logic designed in advance to the machine to execute repeatedly and quickly, thereby freeing humans from simple and tedious repetitive labor. However, for tasks that require a high level of intelligence

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