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

Creation Time	Aug. 11, 2025, 9:06 a.m.
Last Access Time	Aug. 21, 2025, 10:19 a.m.
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Keywords	WebToolTip for Deep Edition Video Systems Learning com Vision
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~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

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