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Language:
English
Total Size:
2.6 GB
Info Hash:
C3C76C01041D1771F09B8A2766015E244EE945A3
Added By:
Added:
July 31, 2025, 12:42 a.m.
Stats:
|
(Last updated: July 31, 2025, 12:46 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 001. Part 1. Deep learning foundation.en.srt | 1.6 KB |
| 001. Part 1. Deep learning foundation.mp4 | 7.2 MB |
| 002. Chapter 1. Welcome to computer vision.en.srt | 24.5 KB |
| 002. Chapter 1. Welcome to computer vision.mp4 | 42.8 MB |
| 003. Chapter 1. Applications of computer vision.en.srt | 15.0 KB |
| 003. Chapter 1. Applications of computer vision.mp4 | 44.5 MB |
| 004. Chapter 1. Computer vision pipeline - The big picture.en.srt | 7.7 KB |
| 004. Chapter 1. Computer vision pipeline - The big picture.mp4 | 23.0 MB |
| 005. Chapter 1. Image input.en.srt | 11.3 KB |
| 005. Chapter 1. Image input.mp4 | 26.9 MB |
| 006. Chapter 1. Image preprocessing.en.srt | 10.2 KB |
| 006. Chapter 1. Image preprocessing.mp4 | 20.0 MB |
| 007. Chapter 1. Feature extraction.en.srt | 15.5 KB |
| 007. Chapter 1. Feature extraction.mp4 | 44.8 MB |
| 008. Chapter 1. Classifier learning algorithm.en.srt | 3.0 KB |
| 008. Chapter 1. Classifier learning algorithm.mp4 | 5.5 MB |
| 009. Chapter 1. Summary.en.srt | 1.2 KB |
| 009. Chapter 1. Summary.mp4 | 3.0 MB |
| 010. Chapter 2. Deep learning and neural networks.en.srt | 25.1 KB |
| 010. Chapter 2. Deep learning and neural networks.mp4 | 58.3 MB |
| 011. Chapter 2. Multilayer perceptrons.en.srt | 18.2 KB |
| 011. Chapter 2. Multilayer perceptrons.mp4 | 62.5 MB |
| 012. Chapter 2. Activation functions.en.srt | 21.9 KB |
| 012. Chapter 2. Activation functions.mp4 | 53.7 MB |
| 013. Chapter 2. The feedforward process.en.srt | 13.0 KB |
| 013. Chapter 2. The feedforward process.mp4 | 41.0 MB |
| 014. Chapter 2. Error functions.en.srt | 15.4 KB |
| 014. Chapter 2. Error functions.mp4 | 27.5 MB |
| 015. Chapter 2. Optimization algorithms.en.srt | 28.7 KB |
| 015. Chapter 2. Optimization algorithms.mp4 | 85.0 MB |
| 016. Chapter 2. Backpropagation.en.srt | 8.5 KB |
| 016. Chapter 2. Backpropagation.mp4 | 18.8 MB |
| 017. Chapter 2. Summary.en.srt | 1.0 KB |
| 017. Chapter 2. Summary.mp4 | 2.8 MB |
| 018. Chapter 3. Convolutional neural networks.en.srt | 22.3 KB |
| 018. Chapter 3. Convolutional neural networks.mp4 | 76.6 MB |
| 019. Chapter 3. CNN architecture.en.srt | 10.3 KB |
| 019. Chapter 3. CNN architecture.mp4 | 34.4 MB |
| 020. Chapter 3. Basic components of a CNN.en.srt | 36.3 KB |
| 020. Chapter 3. Basic components of a CNN.mp4 | 96.7 MB |
| 021. Chapter 3. Image classification using CNNs.en.srt | 10.4 KB |
| 021. Chapter 3. Image classification using CNNs.mp4 | 22.5 MB |
| 022. Chapter 3. Adding dropout layers to avoid overfitting.en.srt | 10.9 KB |
| 022. Chapter 3. Adding dropout layers to avoid overfitting.mp4 | 20.2 MB |
| 023. Chapter 3. Convolution over color images (3D images).en.srt | 9.3 KB |
| 023. Chapter 3. Convolution over color images (3D images).mp4 | 18.3 MB |
| 024. Chapter 3. Project - Image classification for color images.en.srt | 19.2 KB |
| 024. Chapter 3. Project - Image classification for color images.mp4 | 62.5 MB |
| 025. Chapter 3. Summary.en.srt | 2.2 KB |
| 025. Chapter 3. Summary.mp4 | 10.3 MB |
| 026. Chapter 4. Structuring DL projects and hyperparameter tuning.en.srt | 17.4 KB |
| 026. Chapter 4. Structuring DL projects and hyperparameter tuning.mp4 | 29.4 MB |
| 027. Chapter 4. Designing a baseline model.en.srt | 4.2 KB |
| 027. Chapter 4. Designing a baseline model.mp4 | 9.4 MB |
| 028. Chapter 4. Getting your data ready for training.en.srt | 14.9 KB |
| 028. Chapter 4. Getting your data ready for training.mp4 | 43.5 MB |
| 029. Chapter 4. Evaluating the model and interpreting its performance.en.srt | 14.9 KB |
| 029. Chapter 4. Evaluating the model and interpreting its performance.mp4 | 27.9 MB |
| 030. Chapter 4. Improving the network and tuning hyperparameters.en.srt | 14.7 KB |
| 030. Chapter 4. Improving the network and tuning hyperparameters.mp4 | 29.3 MB |
| 031. Chapter 4. Learning and optimization.en.srt | 18.7 KB |
| 031. Chapter 4. Learning and optimization.mp4 | 44.7 MB |
| 032. Chapter 4. Optimization algorithms.en.srt | 11.9 KB |
| 032. Chapter 4. Optimization algorithms.mp4 | 21.6 MB |
| 033. Chapter 4. Regularization techniques to avoid overfitting.en.srt | 9.5 KB |
| 033. Chapter 4. Regularization techniques to avoid overfitting.mp4 | 23.5 MB |
| 034. Chapter 4. Batch normalization.en.srt | 10.4 KB |
| 034. Chapter 4. Batch normalization.mp4 | 29.7 MB |
| 035. Chapter 4. Project - Achieve high accuracy on image classification.en.srt | 11.9 KB |
| 035. Chapter 4. Project - Achieve high accuracy on image classification.mp4 | 30.6 MB |
| 036. Chapter 4. Summary.en.srt | 772 bytes |
| 036. Chapter 4. Summary.mp4 | 1.8 MB |
| 037. Part 2. Image classification and detection.en.srt | 1.2 KB |
| 037. Part 2. Image classification and detection.mp4 | 2.5 MB |
| 038. Chapter 5. Advanced CNN architectures.en.srt | 13.8 KB |
| 038. Chapter 5. Advanced CNN architectures.mp4 | 26.2 MB |
| 039. Chapter 5. LeNet-5.en.srt | 7.2 KB |
| 039. Chapter 5. LeNet-5.mp4 | 17.5 MB |
| 040. Chapter 5. AlexNet.en.srt | 30.4 KB |
| 040. Chapter 5. AlexNet.mp4 | 49.0 MB |
| 041. Chapter 5. VGGNet.en.srt | 7.9 KB |
| 041. Chapter 5. VGGNet.mp4 | 27.1 MB |
| 042. Chapter 5. Inception and GoogLeNet.en.srt | 24.5 KB |
| 042. Chapter 5. Inception and GoogLeNet.mp4 | 65.2 MB |
| 043. Chapter 5. ResNet.en.srt | 24.5 KB |
| 043. Chapter 5. ResNet.mp4 | 59.4 MB |
| 044. Chapter 5. Summary.en.srt | 1.7 KB |
| 044. Chapter 5. Summary.mp4 | 9.0 MB |
| 045. Chapter 6. Transfer learning.en.srt | 10.5 KB |
| 045. Chapter 6. Transfer learning.mp4 | 32.3 MB |
| 046. Chapter 6. What is transfer learning.en.srt | 12.6 KB |
| 046. Chapter 6. What is transfer learning.mp4 | 29.4 MB |
| 047. Chapter 6. How transfer learning works.en.srt | 13.0 KB |
| 047. Chapter 6. How transfer learning works.mp4 | 24.5 MB |
| 048. Chapter 6. Transfer learning approaches.en.srt | 15.1 KB |
| 048. Chapter 6. Transfer learning approaches.mp4 | 28.1 MB |
| 049. Chapter 6. Choosing the appropriate level of transfer learning.en.srt | 9.3 KB |
| 049. Chapter 6. Choosing the appropriate level of transfer learning.mp4 | 26.7 MB |
| 050. Chapter 6. Open source datasets.en.srt | 11.1 KB |
| 050. Chapter 6. Open source datasets.mp4 | 23.9 MB |
| 051. Chapter 6. Project 1 - A pretrained network as a feature extractor.en.srt | 8.8 KB |
| 051. Chapter 6. Project 1 - A pretrained network as a feature extractor.mp4 | 31.9 MB |
| 052. Chapter 6. Project 2 - Fine-tuning.en.srt | 9.1 KB |
| 052. Chapter 6. Project 2 - Fine-tuning.mp4 | 24.0 MB |
| 053. Chapter 6. Summary.en.srt | 2.6 KB |
| 053. Chapter 6. Summary.mp4 | 9.9 MB |
| 054. Chapter 7. Object detection with R-CNN, SSD, and YOLO.en.srt | 24.2 KB |
| 054. Chapter 7. Object detection with R-CNN, SSD, and YOLO.mp4 | 76.4 MB |
| 055. Chapter 7. Region-based convolutional neural networks (R-CNNs).en.srt | 46.7 KB |
| 055. Chapter 7. Region-based convolutional neural networks (R-CNNs).mp4 | 145.2 MB |
| 056. Chapter 7. Single-shot detector (SSD).en.srt | 23.8 KB |
| 056. Chapter 7. Single-shot detector (SSD).mp4 | 71.4 MB |
| 057. Chapter 7. You only look once (YOLO).en.srt | 18.4 KB |
| 057. Chapter 7. You only look once (YOLO).mp4 | 32.2 MB |
| 058. Chapter 7. Project - Train an SSD network in a self-driving car application.en.srt | 10.8 KB |
| 058. Chapter 7. Project - Train an SSD network in a self-driving car application.mp4 | 31.2 MB |
| 059. Chapter 7. Summary.en.srt | 1.8 KB |
| 059. Chapter 7. Summary.mp4 | 10.9 MB |
| 060. Part 3. Generative models and visual embeddings.en.srt | 1.2 KB |
| 060. Part 3. Generative models and visual embeddings.mp4 | 2.6 MB |
| 061. Chapter 8. Generative adversarial networks (GANs).en.srt | 32.7 KB |
| 061. Chapter 8. Generative adversarial networks (GANs).mp4 | 74.8 MB |
| 062. Chapter 8. Evaluating GAN models.en.srt | 9.4 KB |
| 062. Chapter 8. Evaluating GAN models.mp4 | 18.9 MB |
| 063. Chapter 8. Popular GAN applications.en.srt | 7.8 KB |
| 063. Chapter 8. Popular GAN applications.mp4 | 16.6 MB |
| 064. Chapter 8. Project - Building your own GAN.en.srt | 11.0 KB |
| 064. Chapter 8. Project - Building your own GAN.mp4 | 44.0 MB |
| 065. Chapter 8. Summary.en.srt | 1.8 KB |
| 065. Chapter 8. Summary.mp4 | 8.7 MB |
| 066. Chapter 9. DeepDream and neural style transfer.en.srt | 29.3 KB |
| 066. Chapter 9. DeepDream and neural style transfer.mp4 | 66.6 MB |
| 067. Chapter 9. DeepDream.en.srt | 13.1 KB |
| 067. Chapter 9. DeepDream.mp4 | 38.2 MB |
| 068. Chapter 9. Neural style transfer.en.srt | 18.6 KB |
| 068. Chapter 9. Neural style transfer.mp4 | 51.7 MB |
| 069. Chapter 9. Summary.en.srt | 3.0 KB |
| 069. Chapter 9. Summary.mp4 | 10.7 MB |
| 070. Chapter 10. Visual embeddings.en.srt | 14.7 KB |
| 070. Chapter 10. Visual embeddings.mp4 | 41.8 MB |
| 071. Chapter 10. Learning embedding.en.srt | 2.4 KB |
| 071. Chapter 10. Learning embedding.mp4 | 8.5 MB |
| 072. Chapter 10. Loss functions.en.srt | 18.5 KB |
| 072. Chapter 10. Loss functions.mp4 | 37.2 MB |
| 073. Chapter 10. Mining informative data.en.srt | 25.1 KB |
| 073. Chapter 10. Mining informative data.mp4 | 68.6 MB |
| 074. Chapter 10. Project - Train an embedding network.en.srt | 22.0 KB |
| 074. Chapter 10. Project - Train an embedding network.mp4 | 68.9 MB |
| 075. Chapter 10. Pushing the boundaries of current accuracy.en.srt | 5.3 KB |
| 075. Chapter 10. Pushing the boundaries of current accuracy.mp4 | 12.7 MB |
| 076. Chapter 10. Summary.en.srt | 666 bytes |
| 076. Chapter 10. Summary.mp4 | 6.9 MB |
| Bonus Resources.txt | 70 bytes |
Name
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Uploader
Size
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36.7 MB
[3
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2023-07-01
| Uploaded by FreeCourseWeb | Size 36.7 MB | Health [ 3 /0 ] | Added 2023-07-01 |
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39.7 MB
[15
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2023-07-01
| Uploaded by FreeCourseWeb | Size 39.7 MB | Health [ 15 /7 ] | Added 2023-07-01 |
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141.7 MB
[8
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2023-07-01
| Uploaded by FreeCourseWeb | Size 141.7 MB | Health [ 8 /5 ] | Added 2023-07-01 |
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28.8 MB
[0
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2023-07-01
| Uploaded by FreeCourseWeb | Size 28.8 MB | Health [ 0 /7 ] | Added 2023-07-01 |
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2.8 MB
[10
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2023-07-01
| Uploaded by FreeCourseWeb | Size 2.8 MB | Health [ 10 /0 ] | Added 2023-07-01 |
NOTE
SOURCE: Deep Learning for Vision Systems Video Edition
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COVER
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