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                            Beschreibung
                        
                    
                                                                        
                                        Tensorised deep learning models compress large models using fewer parameters that are easier to express and explain the models' performance. To use and participate in the current state-of-the-art research of multi-way analysis using tensor structures and algebra, a foundation in some mathematical concepts using examples and visualisations is required. This book covers the link from theoretical foundations to example applications in machine learning and deep neural network models. Plenty of Python libraries and application examples are referenced and explained to make it easier for newcomers in the field. All required prerequisites are referenced for a deeper foundation from scratch.
                                    
                                    
                                        Tensorised deep learning models compress large models using fewer parameters that are easier to express and explain the models' performance. To use and participate in the current state-of-the-art research of multi-way analysis using tensor structures and algebra, a foundation in some mathematical concepts using examples and visualisations is required. This book covers the link from theoretical foundations to example applications in machine learning and deep neural network models. Plenty of Python libraries and application examples are referenced and explained to make it easier for newcomers in the field. All required prerequisites are referenced for a deeper foundation from scratch.
                                    
                                                            
        Details
    
    | Erscheinungsjahr: | 2023 | 
|---|---|
| Genre: | Importe, Informatik | 
| Rubrik: | Naturwissenschaften & Technik | 
| Medium: | Taschenbuch | 
| ISBN-13: | 9781916626331 | 
| ISBN-10: | 1916626335 | 
| Sprache: | Englisch | 
| Einband: | Kartoniert / Broschiert | 
| Autor: | Helal, Manal | 
| Hersteller: | Manal Helal | 
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de | 
| Maße: | 280 x 216 x 14 mm | 
| Von/Mit: | Manal Helal | 
| Erscheinungsdatum: | 11.05.2023 | 
| Gewicht: | 0,615 kg |