Value: $55.99
(as of Nov 27, 2025 01:19:27 UTC – Particulars)
Implement neural community architectures by constructing them from scratch for a number of real-world functions.
Key FeaturesFrom scratch, construct a number of neural community architectures akin to CNN, RNN, LSTM in Keras Uncover ideas and tips for designing a sturdy neural community to unravel real-world issues Graduate from understanding the working particulars of neural networks and grasp the artwork of fine-tuning them Guide Description
This e book will take you from the fundamentals of neural networks to superior implementations of architectures utilizing a recipe-based strategy.
We’ll study how neural networks work and the influence of assorted hyper parameters on a community’s accuracy together with leveraging neural networks for structured and unstructured knowledge.
Later, we’ll discover ways to classify and detect objects in photos. We can even be taught to make use of switch studying for a number of functions, together with a self-driving automobile utilizing Convolutional Neural Networks.
We’ll generate photos whereas leveraging GANs and in addition by performing picture encoding. Moreover, we’ll carry out textual content evaluation utilizing phrase vector based mostly strategies. Later, we’ll use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation programs.
Lastly, you’ll study transcribing photos, audio, and producing captions and in addition use Deep Q-learning to construct an agent that performs Area Invaders sport.
By the top of this e book, you’ll have developed the abilities to decide on and customise a number of neural community architectures for numerous deep studying issues you would possibly encounter.
What you’ll learnBuild a number of superior neural community architectures from scratch Discover switch studying to carry out object detection and classification Construct self-driving automobile functions utilizing occasion and semantic segmentation Perceive knowledge encoding for picture, textual content and recommender programs Implement textual content evaluation utilizing sequence-to-sequence studying Leverage a mix of CNN and RNN to carry out end-to-end studying Construct brokers to play video games utilizing deep Q-learningWho this e book is for
This intermediate-level e book targets rookies and intermediate-level machine studying practitioners and knowledge scientists who’ve simply began their journey with neural networks. This e book is for many who are searching for assets to assist them navigate by means of the varied neural community architectures; you will construct a number of architectures, with concomitant case research ordered by the complexity of the issue. A fundamental understanding of Python programming and a familiarity with fundamental machine studying are all it is advisable to get began with this e book.
Desk of ContentsBuilding a neural community with Tensorflow and KerasBuilding a deep neural networkApplications of deep feed ahead neural networksBuilding a deep convolutional neural networTransfer LearningObject detection and localizationApplications of picture evaluation in self-driving carImage generationEncoding inputsText evaluation utilizing phrase vectorsBuilding a Recurrent neural NetworkApplications of many to 1 structure based mostly RNNSequence to Sequence learningEnd to finish learningAudio analysisReinforcement studying
Writer : Packt Publishing
Publication date : Feb. 28 2019
Language : English
Print size : 568 pages
ISBN-10 : 1789346649
ISBN-13 : 978-1789346640
Merchandise weight : 962 g
Dimensions : 19.05 x 3.25 x 23.5 cm
Greatest Sellers Rank: #2,281,936 in Books (See Prime 100 in Books) #634 in A.I. Neural Networks #967 in Synthetic Intelligence Textbooks #1,498 in Python (Books)
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