PyTorch for Deep Learning Computer Vision Bootcamp 2024

سرفصل های دوره

Master Computer Vision in PyTorch/Python: Beginner to Pro with Expert Tips on Convolutional Neural Networks (CNNs)

1 - Welcome Aboard

1 - Why PyTorch is Powerful

2 - Introduction

2 - Introduction to Pytorch

3 - Getting System Ready

4 - Create Tensors in Pytorch

5 - Tensor Slicing and Reshape

6 - Mathematical Operations on Tensors

7 - Numpy in Pytorch

8 - What is CUDA

9 - Pytorch on GPU

10 - Download Materials.html

10 - Section-Intro-To-Pytorch.zip

3 - AutoGrad in Pytorch

11 - Autograd in Pytorch

12 - Implementing Gradient Descent using Autograd

13 - Download Materials.html

13 - Pytorch-AutoGrad.zip

4 - Creating Deep Neural Networks in Pytorch

14 - Building first neural network

15 - Writing Deep neural network

16 - Writing Custom NN module

17 - Download Materials.html

17 - Writing-Deep-NN-pytorch.zip

5 - CNN on Pytorch

18 - Data Loading CIFAR10

19 - Data Visualization

20 - CNN Recap

21 - First CNN

22 - CNN Deep layers

23 - CNN-CIFAR10-Part-1.zip

23 - Download Materials.html

6 - LeNet Architecture in Pytorch

24 - LeNet Overview

25 - LeNet Model in Pytorch

26 - Preparation Evaluation

27 - CNN-CIFAR10-Part-2.zip

27 - Download Materials.html

7 - Optional Learning Python Basics

28 - Why Computer Programming Language

29 - Why Python

30 - Getting System Ready Installing Jupyter Notebook

31 - Jupyter Notebook Tips Tricks

32 - What is Covered in this section

33 - Variables in Python

34 - Print Function

35 - Numeric Data Type

36 - String Data Type

37 - Boolean Data Type

38 - Type Conversion Type Casting

39 - Adding Comments in Python Programming Language

40 - Data Structures in Python

41 - Tuples Sets in Python

42 - Python Dictionaries

43 - Conditional Statements in Python if

44 - Conditional Statements in Python While

45 - Inbuilt Functions in Python range input

46 - For Loops

47 - Functions in Python

48 - Classes in Python

8 - Mini Project with Python Basics

49 - DLAI-S05-Mini-Project-Hangman.zip

49 - Section Attachment.html

50 - Mini Project Hangman

51 - Writing a class

52 - Mini Project Continued

53 - Logic Building

54 - Logic for Single Letter input

55 - Final Testing

9 - Python for Data Science Numpy

56 - Numpy Library Code.html

56 - dlai-s07a02-to-a06-numpy.zip

57 - Why Numpy.html

58 - Numpy

59 - Resize Reshape of Arrays

60 - Slicing

61 - Broadcasting

62 - Mathematical Operations Functions in Numpy

10 - Python for Data Science Pandas

63 - Pandas-Attachment.zip

63 - Section Attachments.html

64 - Pandas Library

65 - Pandas Dataframe

66 - Pandas Dataframe Load from External file

67 - Working with null values

68 - Slicing Pandas Dataframe

69 - Imputation

11 - Python for DataScience Matplotlib

70 - Section Attachments.html

70 - dlai-s09-matplotlib.zip

71 - Matplotlib Introduction

72 - Format the plot

73 - Plot Formatting Scatter Plot

74 - Histplot

12 - Additional Concepts from Machine Learning

75 - Bonus How do you select a Model in ML

76 - Bonus Get More from Learning Journey.html

13 - Machine Learning for Projects

77 - Understanding Generative AI

78 - Machine learning Deployment Part 1 Model Prep End to End

79 - Machine learning Deployment Part 2 Deploy Flask App End to End

80 - Streamlit Tutorial

81 - Bonus Content References.html

82 - Packaging the ML Models

83 - Docker Containers for Data Science and ML Projects

84 - Course Trailer on MLOps

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تولید کننده: Udemy