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(This article was first published on <strong><a href="https://gigadom.wordpress.com/2018/05/17/my-book-deep-learning-from-first-principles-now-on-amazon/"> R – Giga thoughts …</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>My 4th book(self-published), “Deep Learning from first principles – In vectorized Python, R and Octave” (557 pages), is now available on Amazon in both <a rel="nofollow" href="https://www.amazon.com/dp/1981088849" target="_blank">paperback</a> ($16.99) and <a rel="nofollow" href="https://www.amazon.com/dp/B07D47SRCP" target="_blank">kindle</a> ($6.65/Rs449). The book starts with the most primitive 2-layer Neural Network and works  its way to a generic L-layer Deep Learning Network, with all the bells and whistles.  The book includes detailed derivations and vectorized implementations in Python, R and Octave.  The code has been extensively  commented and has been included in the Appendix section.</p>
<p>Pick up your copy today!!!<br>
<img data-orig-file="https://gigadom.files.wordpress.com/2018/05/untitled1.png" data-orig-size="1047,505" data-medium-file="https://gigadom.files.wordpress.com/2018/05/untitled1.png?w=300" data-attachment-id="6790" data-image-meta="{" data-image-description="" src="https://gigadom.files.wordpress.com/2018/05/untitled1.png?w=450&h=326&fit=676%2C326" data-permalink="https://gigadom.wordpress.com/2018/05/17/my-book-deep-learning-from-first-principles-now-on-amazon/untitled-123/" data-large-file="https://gigadom.files.wordpress.com/2018/05/untitled1.png?w=450&amp;h=326&amp;fit=676%2C326" alt="" data-image-title="Untitled" sizes="(max-width: 676px) 100vw, 676px" data-comments-opened="1" class="wp-image-6790" data-recalc-dims="1"></p>
<p>My other books<br>
1. <a rel="nofollow" href="https://www.amazon.com/dp/1973443503" target="_blank">Practical Machine Learning with R and Python</a><br>
2. <a rel="nofollow" href="https://www.amazon.com/dp/1973561719" target="_blank">Beaten by sheer pace – Cricket analytics with yorkr</a><br>
3. <a rel="nofollow" href="https://www.amazon.com/dp/1973502763" target="_blank">Cricket analytics with cricketr</a></p>
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