Description As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics.
It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn.
The final two chapters contain an assortment of TensorFlow 1.
x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well).
A Ten.
Mercury Learning & Information Python for tensorflow pocket primer, paperback/oswald campesato
