[ WebToolTip.com ] Deep Learning for Vision Systems, Video Edition

Creation Time	Aug. 11, 2025, 9:06 a.m.
Last Access Time	Nov. 30, 2025, 12:17 p.m.
File Size	2.6 GB
Keywords	WebToolTip for Deep Edition Video Systems Learning com Vision
Total Requests	111
Total Files	154
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

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

[ WebToolTip.com ] Deep Learning for Vision Systems, Video Edition

File List

Download Torrent

Related Resources

Copyright Infringement