Description
PyTorch for Deep Learning Bootcamp course. This course teaches you how to use PyTorch, a powerful deep learning and machine learning framework written in Python. With PyTorch, you can create new algorithms and use the most advanced deep learning algorithms, such as neural networks, which are used in many of today’s artificial intelligence (AI) applications. This course is suitable for beginners to experienced people in machine learning. In this course, you will learn the basics of PyTorch, how to build deep learning models using PyTorch, and how to use PyTorch to solve real-world problems.
- Easy to learn: PyTorch is easy to learn and use, especially if you are familiar with Python.
- Powerful: PyTorch is a powerful framework that can be used to solve a wide variety of deep learning problems.
- Flexible: PyTorch is a flexible framework that can be used to customize deep learning models for your specific needs.
- Popular: PyTorch is a popular framework supported by a large community of developers and researchers.
By learning PyTorch, you can:
- Advance your career and earn more: Demand for deep learning engineers is on the rise, and those with PyTorch skills are in high demand.
- Build your own deep learning models: With PyTorch you can build your own deep learning models to solve your specific problems.
- Expand your skills in artificial intelligence, machine learning, and deep learning: PyTorch is an invaluable tool for anyone working in artificial intelligence, machine learning, or deep learning.
What you will learn in the PyTorch for Deep Learning Bootcamp course
- PyTorch Basics: In this section, you will learn about the basic concepts of PyTorch, such as tensors, variables, modules, and functions. You will also learn how to use PyTorch to build and train machine learning models.
- PyTorch Workflow: In this section, you’ll learn how to build a deep learning model with PyTorch from start to finish. You will learn how to load data, preprocess it, build a model, train it, and use it to make predictions.
- PyTorch Neural Network Classification: In this section, you will learn how to use PyTorch to build neural network classification models to solve problems such as image recognition and text classification.
- PyTorch Computer Vision: In this section, you will learn how to use PyTorch to build computer vision models to solve problems such as object recognition and image classification.
This course is suitable for people who
- Anyone who wants to learn deep learning: This course is for anyone interested in learning about deep learning and how it can be used to solve real-world problems.
- Students, developers, and data scientists: This course is ideal for students, developers, and data scientists who want to improve their machine learning skills by building and training real-world models using PyTorch.
- Artificial Intelligence Professionals: This course is suitable for AI professionals who want to expand their knowledge of PyTorch and deep learning.
PyTorch for Deep Learning Bootcamp course specifications
- Publisher: Udemy
- teacher: Andrei Neagoie, Daniel Bourke
- Training level: beginner to advanced
- Training duration: 52 hours and 14 minutes
- Number of courses: 358
Course headings
Prerequisites of the PyTorch for Deep Learning Bootcamp course
- A computer (Linux/Windows/Mac) with an internet connection is required
- Basic Python knowledge is required
- Previous Machine Learning knowledge is recommended, but not required (we provide sufficient supplementary resources to get you up to speed!)
Course images
Sample video of the course
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
29.5 GB
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