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TORRENT DETAILS
Udemy - Deep Learning With Google Colab
TORRENT SUMMARY
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Implementing and training deep learning models in a free, integrated environment
What you'll 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
Requirements
Familiarity with Python programming (including classes, functions, context managers)
Basic linear algebra and calculus (briefly used during the discussions on various deep learning models and techniques)
Description
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 this course is for
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
Homepage
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Getting started in Google Colab/1. Introduction.mp4
42 MB
~Get Your Files Here !/1. Getting started in Google Colab/1. Introduction.srt
3.7 KB
~Get Your Files Here !/1. Getting started in Google Colab/10. Section conclusion.mp4
14.2 MB
~Get Your Files Here !/1. Getting started in Google Colab/10. Section conclusion.srt
1.3 KB
~Get Your Files Here !/1. Getting started in Google Colab/2. Registering for a Google account.mp4
7.7 MB
~Get Your Files Here !/1. Getting started in Google Colab/2. Registering for a Google account.srt
1.7 KB
~Get Your Files Here !/1. Getting started in Google Colab/3. Navigating to Google Colab.mp4
16.3 MB
~Get Your Files Here !/1. Getting started in Google Colab/3. Navigating to Google Colab.srt
2.3 KB
~Get Your Files Here !/1. Getting started in Google Colab/4. Exploring your Google Colab Notebook.mp4
15.4 MB
~Get Your Files Here !/1. Getting started in Google Colab/4. Exploring your Google Colab Notebook.srt
2.6 KB
~Get Your Files Here !/1. Getting started in Google Colab/5. The definition of notebooks.mp4
11.9 MB
~Get Your Files Here !/1. Getting started in Google Colab/5. The definition of notebooks.srt
1.5 KB
~Get Your Files Here !/1. Getting started in Google Colab/6. Running your first Google Colab code cell.mp4
19.8 MB
~Get Your Files Here !/1. Getting started in Google Colab/6. Running your first Google Colab code cell.srt
5.1 KB
~Get Your Files Here !/1. Getting started in Google Colab/7. The markup language Markdown.mp4
15.8 MB
~Get Your Files Here !/1. Getting started in Google Colab/7. The markup language Markdown.srt
2.4 KB
~Get Your Files Here !/1. Getting started in Google Colab/8. Writing Markdown in Google Colab.mp4
12.5 MB
~Get Your Files Here !/1. Getting started in Google Colab/8. Writing Markdown in Google Colab.srt
3.1 KB
~Get Your Files Here !/1. Getting started in Google Colab/9. Writing LaTeX in Google Colab.mp4
17.6 MB
~Get Your Files Here !/1. Getting started in Google Colab/9. Writing LaTeX in Google Colab.srt
1.8 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/1. Installing packages in Google Colab.mp4
37.1 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/1. Installing packages in Google Colab.srt
5.2 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/2. Working with files using Google Drive.mp4
35.1 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/2. Working with files using Google Drive.srt
5.6 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/3. Working with files directly in Google Colab.mp4
40.8 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/3. Working with files directly in Google Colab.srt
6.5 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/4. Sharing files via Google Drive.mp4
32.5 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/4. Sharing files via Google Drive.srt
5.7 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/5. Introduction to version control with Git and GitHub.mp4
58.2 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/5. Introduction to version control with Git and GitHub.srt
5.9 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/6. Sending Google Colab notebooks to GitHub.mp4
59.9 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/6. Sending Google Colab notebooks to GitHub.srt
9.4 KB
~Get Your Files Here !/3. Introduction to PyTorch/1. Creating a tensor.mp4
61.1 MB
~Get Your Files Here !/3. Introduction to PyTorch/1. Creating a tensor.srt
9.6 KB
~Get Your Files Here !/3. Introduction to PyTorch/10. Saving and loading models.mp4
58.4 MB
~Get Your Files Here !/3. Introduction to PyTorch/10. Saving and loading models.srt
10.6 KB
~Get Your Files Here !/3. Introduction to PyTorch/11. Problem statement and setup.mp4
20.1 MB
~Get Your Files Here !/3. Introduction to PyTorch/11. Problem statement and setup.srt
4.9 KB
~Get Your Files Here !/3. Introduction to PyTorch/12. Approaches and solutions.mp4
52.8 MB
~Get Your Files Here !/3. Introduction to PyTorch/12. Approaches and solutions.srt
9.7 KB
~Get Your Files Here !/3. Introduction to PyTorch/2. Tensor operations.mp4
40.5 MB
~Get Your Files Here !/3. Introduction to PyTorch/2. Tensor operations.srt
8.2 KB
~Get Your Files Here !/3. Introduction to PyTorch/3. GPUs in the context of deep learning.mp4
70.6 MB
~Get Your Files Here !/3. Introduction to PyTorch/3. GPUs in the context of deep learning.srt
6.8 KB
~Get Your Files Here !/3. Introduction to PyTorch/4. Turning on your Colab GPU.mp4
19 MB
~Get Your Files Here !/3. Introduction to PyTorch/4. Turning on your Colab GPU.srt
6 KB
~Get Your Files Here !/3. Introduction to PyTorch/5. Limits of the Colab GPU.mp4
29.9 MB
~Get Your Files Here !/3. Introduction to PyTorch/5. Limits of the Colab GPU.srt
4.6 KB
~Get Your Files Here !/3. Introduction to PyTorch/6. Neural network basics.mp4
37.4 MB
~Get Your Files Here !/3. Introduction to PyTorch/6. Neural network basics.srt
4.8 KB
~Get Your Files Here !/3. Introduction to PyTorch/7. Gradients and backpropagation.mp4
76.6 MB
~Get Your Files Here !/3. Introduction to PyTorch/7. Gradients and backpropagation.srt
10.3 KB
~Get Your Files Here !/3. Introduction to PyTorch/8. Automatic differentiation in PyTorch.mp4
43.1 MB
~Get Your Files Here !/3. Introduction to PyTorch/8. Automatic differentiation in PyTorch.srt
9.5 KB
~Get Your Files Here !/3. Introduction to PyTorch/9. Training a model.mp4
45.1 MB
~Get Your Files Here !/3. Introduction to PyTorch/9. Training a model.srt
11.2 KB
~Get Your Files Here !/4. Working with datasets/1. Downloading a built-in dataset.mp4
39.5 MB
~Get Your Files Here !/4. Working with datasets/1. Downloading a built-in dataset.srt
7.7 KB
~Get Your Files Here !/4. Working with datasets/2. Working with PyTorch datasets.mp4
69.7 MB
~Get Your Files Here !/4. Working with datasets/2. Working with PyTorch datasets.srt
9.2 KB
~Get Your Files Here !/4. Working with datasets/3. Loading a dataset into Colab.mp4
32.9 MB
~Get Your Files Here !/4. Working with datasets/3. Loading a dataset into Colab.srt
6.2 KB
~Get Your Files Here !/4. Working with datasets/4. Building a PyTorch dataset.mp4
65.9 MB
~Get Your Files Here !/4. Working with datasets/4. Building a PyTorch dataset.srt
11.6 KB
~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.mp4
69 MB
~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.srt
9.6 KB
~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.mp4
81.9 MB
~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.srt
12.9 KB
~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.mp4
32.3 MB
~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.srt
5.5 KB
~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.mp4
33.2 MB
~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.srt
7.5 KB
~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.mp4
60.4 MB
~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.srt
10.7 KB
~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.mp4
29.6 MB
~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.srt
6.6 KB
~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.mp4
53.8 MB
~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.srt
6.5 KB
~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.mp4
87.9 MB
~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.srt
12.6 KB
~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.mp4
68.9 MB
~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.srt
8.9 KB
~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.mp4
76.6 MB
~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.srt
10.3 KB
~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.mp4
90.2 MB
~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.srt
10.7 KB
~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.mp4
41.6 MB
~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.srt
8.7 KB
~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.mp4
51.4 MB
~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.srt
8.9 KB
~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.mp4
92.2 MB
~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.srt
11.2 KB
~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.mp4
68.2 MB
~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.srt
9.3 KB
~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.mp4
41 MB
~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.srt
8.9 KB
~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.mp4
62.8 MB
~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.srt
