Deep Learning with Google Colab

Deep Learning with Google Colab, available at $54.99, has an average rating of 4.1, with 61 lectures, based on 106 reviews, and has 7636 subscribers.

You will learn about This course covers the general workflow of a deep learning project, implemented using PyTorch in Google Colab. At the end of the course, students will be proficient at using Google Colab as well as PyTorch in their own projects. Students will also learn about the theoretical foundations for various deep learning models and techniques, as well as how to implement them using PyTorch. Finally, the course ends by offering an overview on general deep learning and how to think about problems in the field; students will gain a high-level understanding of the role deep learning plays in the field of AI. Learn how to utilize Google Colab as an online computing platform in deep learning projects, including running Python code, using a free GPU, and working with external files and folders Understand the general workflow of a deep learning project Examine the various APIs (datasets, modeling, training) PyTorch offers to facilitate deep learning Learn about the theoretical basis for various deep learning models such as convolutional networks or residual networks and what problems they address Gain an overview understanding of deep learning in the context of the artificial intelligence field and its best practices This course is ideal for individuals who are AI enthusiasts interested in getting started on deep learning or Programmers familiar with deep learning looking to gain a comprehensive understanding of various deep learning models and techniques It is particularly useful for AI enthusiasts interested in getting started on deep learning or Programmers familiar with deep learning looking to gain a comprehensive understanding of various deep learning models and techniques.

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Summary

Title: Deep Learning with Google Colab

Price: $54.99

Average Rating: 4.1

Number of Lectures: 61

Number of Published Lectures: 61

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

• This course covers the general workflow of a deep learning project, implemented using PyTorch in Google Colab. At the end of the course, students will be proficient at using Google Colab as well as PyTorch in their own projects. Students will also learn about the theoretical foundations for various deep learning models and techniques, as well as how to implement them using PyTorch. Finally, the course ends by offering an overview on general deep learning and how to think about problems in the field; students will gain a high-level understanding of the role deep learning plays in the field of AI.
• Learn how to utilize Google Colab as an online computing platform in deep learning projects, including running Python code, using a free GPU, and working with external files and folders
• Understand the general workflow of a deep learning project
• Examine the various APIs (datasets, modeling, training) PyTorch offers to facilitate deep learning
• Learn about the theoretical basis for various deep learning models such as convolutional networks or residual networks and what problems they address
• Gain an overview understanding of deep learning in the context of the artificial intelligence field and its best practices

Who Should Attend

• AI enthusiasts interested in getting started on deep learning
• Programmers familiar with deep learning looking to gain a comprehensive understanding of various deep learning models and techniques

Target Audiences

• AI enthusiasts interested in getting started on deep learning
• Programmers familiar with deep learning looking to gain a comprehensive understanding of various deep learning models and techniques