Deep Learning : Convolutional Neural Networks with Python

سرفصل های دوره

CNN for Computer Vision and Deep Learning for Segmentation, Object Detection, Classification, Pose Estimation in Python

1. Introduction to Course

1. Introduction

2. Artificial Neurons - The building blocks of Deep Learning

1. Introduction to Deep Learning and Artificial Neurons

3. Introduction to Convolutional Neural Networks (CNNs)

1. Introduction to Convolutional Neural Networks (CNNs)

4. Google Colab Environment Set-up for Writing Python Code

1. Google Colab Environment for Writing Python and Pytorch Code

5. Convolutional Neural Networks from Scratch using Python

1. Define Convolutional Neural Network Architecture from Scratch using Python

6. Dataset and its Augmentation

1. Dataset and its Augmentation

7. Hyperparameters Optimization For Convolutional Neural Networks

1. Hyperparameters Optimization For Training Models

8. Training Convolutional Neural Network from Scratch

1. Training Convolutional Neural Network from Scratch

9. Validating Convolutional Neural Network on Test Images

1. Validating Convolutional Neural Network on Test Images

10. Performance Metrics (Accuracy, Precision, Recall, F1 Score) to Evaluate CNNs

1. Performance Metrics (Accuracy, Precision, Recall, F1 Score) to Evaluate CNNs

11. Visualize Confusion Matrix and Calculate Precision, Recall, and F1 Score

1. Visualize Confusion Matrix and Calculate Precision, Recall, and F1 Score

12. Resources Python Code for Convolutional Neural Networks from Scratch

1.1 cnn from scratch code.zip

1. Resources Python Code for Convolutional Neural Networks from Scratch.html

13. Pretrained Convolutional Neural Networks

1. Pretrained Convolutional Neural Networks with Python

2.1 Multi Label Classification.zip

2.2 Resources Single Label Classification.zip

2. Python Code to use the Pretrained CNN Models.html

14. Transfer Learning using Convolutional Neural Networks

1. What is Transfer Learning

2. Transfer Learning by Fine Tuning CNNs Models

3. Transfer Learning with CNNs Models as Fixed Feature Extractor

4.1 Code for Transfer Learning by FineTuning and Model Feature Extractor.zip

4.2 Dataset.zip

4. Transfer Learning Python, Pytorch Code and Dataset.html

15. Convolutional Neural Networks Encoder Decoder Architectures

1. Convolutional Neural Networks Based Encoders

2. Convolutional Neural Networks Based Decoders

3. Multi-Task Contextual Encoder Decoder Network

16. YOLO Convolutional Neural Networks

1. YOLO Convolutional Neural Networks Architecture

2. How YOLO Works to Identify Objects

17. Region-based Convolutional Neural Networks

1. Region-based Convolutional Neural Networks (RCNN, FAST RCNN, FASTER RCNN)

2. Detectron2 for Ojbect Detection with PyTorch

3. Perform Object Detection using Detectron2 Models

4.1 Python and PyTorch Code for Object Detection using Detectron2.zip

4. Resources Python and PyTorch Code for Object Detection.html

139,000 تومان

خرید اشتراک افزودن به سبد خرید

خرید دانلودی فوری

در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.

تولید کننده: Udemy