xjtulyc / deep_learning_skills

Notes of Deep Learning

Comprehensive Tutorial on Deep Learning and Computer Vision

中文版

Welcome to this comprehensive tutorial on deep learning and computer vision! Whether you are a complete beginner or have some experience in these fields, this tutorial will guide you through the essential concepts and techniques of deep learning and computer vision.

We will start by exploring the basics of numpy and PyTorch operations, which are the building blocks of deep learning. You will learn how to create arrays, manipulate data, and perform basic operations in numpy. Then, we will move on to PyTorch, a powerful library that allows us to build and train neural networks efficiently.

As we progress, we will delve deeper into deep learning concepts such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). You will learn how to design, implement, and train these models using PyTorch.

In addition, we will explore computer vision, which is a crucial application area of deep learning. You will learn how to preprocess images, apply transformations, and use pre-trained models for image classification, object detection, and semantic segmentation.

Throughout this tutorial, we will provide examples and practical exercises to help you develop your understanding and skills in deep learning and computer vision. We will also provide resources for further learning and reference.

This tutorial is designed to be accessible to both English and Chinese speakers, with explanations and examples provided in both languages. We hope this tutorial will be a valuable resource for you in your journey to becoming a proficient deep learning practitioner.