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File Name: | Deep Learning : Convolutional Neural Networks With Python |
Content Source: | N/A |
Genre / Category: | Programming |
File Size : | 2.4 GB |
Publisher: | N/A |
Updated and Published: | March 05, 2024 |
What you’ll learn
- Deep Convolutional Neural Networks with Python and Pytorch Basics to Expert
- Introduction to Deep Learning and its Building Blocks Artificial Neurons
- Define Convolutional Neural Network Architecture from Scratch with Python and Pytorch
- Hyperparameters Optimization For Convolutional Neural Networks to Improve Model Performance
- Custom Datasets with Augmentations to Increase Image Data Variability
- Training and Testing Convolutional Neural Network using Pytorch
- Performance Metrics (Accuracy, Precision, Recall, F1 Score) to Evaluate CNNs
- Visualize Confusion Matrix and Calculate Precision, Recall, and F1 Score
- Advanced CNNs for Segmentation, Object tracking, and Pose Estimation.
- Pretrained Convolutional Neural Networks and their Applications
- Transfer Learning using Convolutional Neural Networks Models
- Convolutional Neural Networks Encoder Decoder Architectures
- YOLO Convolutional Neural Networks for Computer Vision Tasks
- Region-based Convolutional Neural Networks for Object Detection
DOWNLOAD LINK: Deep Learning : Convolutional Neural Networks With Python
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