Verwandte Artikel zu Beginning Deep Learning with TensorFlow: Work with...

Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks - Softcover

 
9781484279144: Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks

Inhaltsangabe

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners. 


You'll start with an introduction to AI, where you'll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you'll jump into simple classification programs for hand-writing analysis. Once you've tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you'll get into the heavy lifting of programming neural networks  and working with a wide variety of neural network types such as GANs and RNNs.  

Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer!      

What You'll Learn
  • Develop using deep learning algorithms
  • Build deep learning models using TensorFlow 2
  • Create classification systems and other, practical deep learning applications

Who This Book Is For

Students, programmers, and researchers with no experience in deep learning who want to build up their basic skillsets. Experienced machine learning programmers and engineers might also find value in updating their skills.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

​Liangqu Long is a well-known deep learning educator and engineer in China. He is a successfully published author in the topic area with years of experience in teaching machine learning concepts. His two online video tutorial courses “Deep Learning with PyTorch” and “Deep Learning with TensorFlow 2” have received massive positive comments and allowed him to refine his deep learning teaching methods.    
Xiangming Zeng is an experienced data scientist and machine learning practitioner. He has over ten years of experience using machine learning and deep learning models to solve real world problems in both academia and professionally. Xiangming is familiar with deep learning fundamentals and mainstream machine learning libraries such as Tensorflow and scikit-learn.

Von der hinteren Coverseite

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners. 


You’ll start with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you’ll jump into simple classification programs for hand-writing analysis. Once you’ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you’ll get into the heavy lifting of programming neural networks  and working with a wide variety of neural network types such as GANs andRNNs.  

Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer!   

You will:
  • Develop using deep learning algorithms
  • Build deep learning models using TensorFlow 2
  • Create classification systems and other, practical deep learning applications

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

  • VerlagApress
  • Erscheinungsdatum2022
  • ISBN 10 148427914X
  • ISBN 13 9781484279144
  • EinbandTapa blanda
  • SpracheEnglisch
  • Anzahl der Seiten740
  • Kontakt zum HerstellerNicht verfügbar

Gebraucht kaufen

Zustand: Hervorragend | Seiten:...
Diesen Artikel anzeigen

Gratis für den Versand innerhalb von/der Deutschland

Versandziele, Kosten & Dauer

EUR 5,88 für den Versand von Vereinigtes Königreich nach Deutschland

Versandziele, Kosten & Dauer

Suchergebnisse für Beginning Deep Learning with TensorFlow: Work with...

Beispielbild für diese ISBN

Liangqu Long, Xiangming Zeng
Verlag: APRESS, 2022
ISBN 10: 148427914X ISBN 13: 9781484279144
Gebraucht Softcover

Anbieter: Buchpark, Trebbin, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 713 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 38099433/1

Verkäufer kontaktieren

Gebraucht kaufen

EUR 21,96
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Long, Liangqu; Zeng, Xiangming
Verlag: Apress, 2022
ISBN 10: 148427914X ISBN 13: 9781484279144
Neu Softcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. In. Artikel-Nr. ria9781484279144_new

Verkäufer kontaktieren

Neu kaufen

EUR 68,14
Währung umrechnen
Versand: EUR 5,88
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb