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- 45 Giorni
... Stringhe Generazione di numeri casuali Esempio: input e output di dati da tastiera e semplici operazioni • Tipi di dato avanzati Liste Tuple Dizionari Array...
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- 6h
... e input Commenti Indentazione Librerie Liste e tuple Algoritmi Istruzioni condizionali If Elif Introduzione ai cicli Ciclo for Ciclo while Introduzione...
- Corso
- Napoli
- 8h
...per cui rappresentano un inutile spreco di risorse umane ed economiche; invece, un adeguato percorso di formazione e di aggiornamento continuo degli addetti...
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- Roma
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... - File e data set, record logici e fisici: fissi, indefiniti, variabili sbloccati, variabili bloccati, spanned; dichiarativa COBOL dei record spanned... Impara:: Informatica e tecnologia, Data processing, Informatica per adulti...
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... collezione Indicizzazione Dizionari o hash Iteratori Ciclo di vita degli oggetti nelle collezioni Cenni di FP: each e map Esercizi Operazioni di Input/Output... Impara:: Sviluppare software con Ruby, Creare web application con ROR, Programmare in Ruby...
- Corso
- Milano
... and Motion-capture Data Deep Belief Networks (DBNs) Reconstructing the Original Input Data from a Corrupted (Noisy) Version Feature Selection...
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... and Motion-capture Data Deep Belief Networks (DBNs) Reconstructing the Original Input Data from a Corrupted (Noisy) Version Feature Selection...
- Corso
- Milano
... Hapi.js Creating a New Hapi Project Serving Static Content and Files Rendering Dynamic Pages Setting up Routes Authenticating Users Handling User Input... Impara:: Web master...
- Corso
- Milano
...Participants will be able to excel themselves, in the most optimal way to create, consolidate and manage data. A number of tools designed...
- Corso
- Milano
... Preloading TensorFlow Data How to use TensorFlow infrastructure to train models at scale Visualizing and Evaluating models with TensorBoard TensorFlow...
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- Milano
...-art models. Interfaces: command line, Python, and MATLAB Caffe. Data: how to caffeinate data for model input. Caffeinated Convolution: how Caffe...
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- Milano
... of neurons connect Neural network as nodes Building a network Neurons Layers Scales Input and output data Range 0 to 1 Normalization Learning Neural...
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...-art models. Interfaces: command line, Python, and MATLAB Caffe. Data: how to caffeinate data for model input. Caffeinated Convolution: how Caffe...
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... connect Neural network as nodes Building a network Neurons Layers Scales Input and output data Range 0 to 1 Normalization Learning Neural Networks Backward...
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- Milano
... Neural Network Understanding Neural Nodes and Connections Working with Neurons, Layers, and Input and Output Data Understanding Single Layer Perceptrons...
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... learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a...
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... Go Development Environment Learning the Basics of Go Syntax Working with Go Packages Algorithms, Data Structures How Go Handles Garbage Collection...
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... Neural Network Understanding Neural Nodes and Connections Working with Neurons, Layers, and Input and Output Data Understanding Single Layer Perceptrons...
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... Neural Network Understanding Neural Nodes and Connections Working with Neurons, Layers, and Input and Output Data Understanding Single Layer Perceptrons...
- Corso
- Milano
... Using the REPL Creating Variables in Kotlin Understanding the Different Data Types in Kotlin Using Strings in Kotlin Understanding Immutability in Kotlin...