Worth: $53.99
(as of Jul 29, 2025 12:16:36 UTC – Particulars)
Construct your Machine Studying portfolio by creating 6 cutting-edge Synthetic Intelligence tasks utilizing neural networks in Python
Key Options
Uncover neural community architectures (like CNN and LSTM) which are driving latest developments in AIBuild knowledgeable neural networks in Python utilizing common libraries equivalent to KerasIncludes tasks equivalent to object detection, face identification, sentiment evaluation, and extra
E-book Description
Neural networks are on the core of latest AI advances, offering a number of the greatest resolutions to many real-world issues, together with picture recognition, medical analysis, textual content evaluation, and extra. This e book goes via some fundamental neural community and deep studying ideas, in addition to some common libraries in Python for implementing them.
It incorporates sensible demonstrations of neural networks in domains equivalent to fare prediction, picture classification, sentiment evaluation, and extra. In every case, the e book offers an issue assertion, the particular neural community structure required to sort out that downside, the reasoning behind the algorithm used, and the related Python code to implement the answer from scratch. Within the course of, you’ll acquire hands-on expertise with utilizing common Python libraries equivalent to Keras to construct and prepare your personal neural networks from scratch.
By the tip of this e book, you should have mastered the completely different neural community architectures and created cutting-edge AI tasks in Python that can instantly strengthen your machine studying portfolio.
What you’ll be taught
Be taught numerous neural community architectures and its developments in AIMaster deep studying in Python by constructing and coaching neural networkMaster neural networks for regression and classificationDiscover convolutional neural networks for picture recognitionLearn sentiment evaluation on textual information utilizing Lengthy Quick-Time period MemoryBuild and prepare a extremely correct facial recognition safety system
Writer : Packt Publishing
Publication date : Feb. 28 2019
Language : English
Print size : 308 pages
ISBN-10 : 1789138906
ISBN-13 : 978-1789138900
Merchandise weight : 210 g
Dimensions : 19.05 x 1.78 x 23.5 cm
Greatest Sellers Rank: #1,064,086 in Books (See Prime 100 in Books) #173 in Machine Principle #264 in AI Principle of Computing #373 in A.I. Neural Networks
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