Packt – PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications

Packt – PyTorch Bootcamp for Artificial Neural Networks and Deep Learning Applications-XQZT
English | Size: 5.31 GB
Category: Tutorial

Hands-on PyTorch boot camp for Artificial Intelligence applications with artificial neural networks and deep learning

Key Features
– A full introduction to Python Data Science and Anaconda, a powerful Python-driven data science framework
– A thorough grounding in how to use PyTorch to implement common deep learning algorithms such as Convolutional Neural Networks (CNNs) on real-life data
– Limited mathematical jargon. The course focuses on teaching people basic Python data science concepts and builds up to using PyTorch

What You Will Learn
– Deep Learning Basics – Getting started with Anaconda, an important Python data science environment
– Neural Network Python Applications – Configuring the Anaconda environment to get started with PyTorch
– Introduction to Deep Learning Neural Networks – Theoretical underpinnings of important concepts (such as deep learning) without the jargon
– AI Neural Networks – Implementing Artificial Neural Networks (ANNs) with PyTorch
– Neural Network Model – Implementing deep learning (DL) models with PyTorch
– Deep Learning AI – Implement common machine learning algorithms for image classification
– Deep Learning Neural Networks – Implement PyTorch-based deep learning algorithms on image data

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