As part of the best-selling *Pocket Primer* series, this book introduces beginners to basic machine learning algorithms using Tensor Flow 2. It provides a fast-paced introduction to Tensor Flow, covering core features and machine learning basics with Python code samples. An appendix includes Keras-based code samples and explores MLPs, CNNs, RNNs, and LSTMs. The chapters illustrate how to solve various tasks, encouraging further reading to deepen your knowledge.
The journey begins with an introduction to Tensor Flow 2, followed by essential APIs and datasets. You’ll explore linear regression and classifiers, learning to apply Tensor Flow to practical problems. The comprehensive appendix covers advanced topics like NLPs and deep learning architectures, enhancing your understanding of machine learning.
Understanding these concepts is crucial for modern AI applications. This book transitions readers from basic Tensor Flow use to advanced machine learning techniques, blending theory with practical examples. Companion files with source code and figures enhance learning, making this an essential resource for mastering Tensor Flow and machine learning.
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