【资源目录】：
├──1. Introduction
| ├──1. Course content.mp4 102.89M
| ├──1. Course content.srt 19.99kb
| └──2. Google Drive folder.html 0.35kb
├──10. Object detection with YOLO
| ├──1. Plan of attack.mp4 14.27M
| ├──1. Plan of attack.srt 3.77kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──10. Additional reading.html 0.55kb
| ├──2. YOLO – intuition.mp4 28.69M
| ├──2. YOLO – intuition.srt 9.19kb
| ├──3. Downloading and compiling Darknet.mp4 38.20M
| ├──3. Downloading and compiling Darknet.srt 9.29kb
| ├──4. Testing the detector.mp4 81.47M
| ├──4. Testing the detector.srt 15.07kb
| ├──5. Darknet and GPU.mp4 70.47M
| ├──5. Darknet and GPU.srt 12.50kb
| ├──6. Threshold and ext_output parameters.mp4 87.91M
| ├──6. Threshold and ext_output parameters.srt 11.38kb
| ├──7. Detecting objects in videos.mp4 62.16M
| ├──7. Detecting objects in videos.srt 11.19kb
| ├──8. HOMEWORK.html 0.44kb
| ├──9. Homework solution.mp4 27.30M
| └──9. Homework solution.srt 3.50kb
├──11. Recognition of gestures and actions
| ├──1. Plan of attack.mp4 18.34M
| ├──1. Plan of attack.srt 4.81kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──10. HOMEWORK.html 0.59kb
| ├──11. Homework solution.mp4 41.22M
| ├──11. Homework solution.srt 6.49kb
| ├──12. Additional reading.html 0.88kb
| ├──2. Gestures and actions recognition – intuition.mp4 59.70M
| ├──2. Gestures and actions recognition – intuition.srt 10.44kb
| ├──3. Importing the libraries and the image.mp4 56.57M
| ├──3. Importing the libraries and the image.srt 12.69kb
| ├──4. Loading the pre-trained neural network.mp4 27.14M
| ├──4. Loading the pre-trained neural network.srt 6.98kb
| ├──5. Predicting body points 1.mp4 121.48M
| ├──5. Predicting body points 1.srt 24.35kb
| ├──6. Predicting body points 2.mp4 46.64M
| ├──6. Predicting body points 2.srt 7.02kb
| ├──7. Detecting gestures in images.mp4 107.97M
| ├──7. Detecting gestures in images.srt 16.41kb
| ├──8. Detecting gestures in videos 1.mp4 35.45M
| ├──8. Detecting gestures in videos 1.srt 9.16kb
| ├──9. Detecting gestures in videos 2.mp4 64.95M
| └──9. Detecting gestures in videos 2.srt 9.56kb
├──12. Deep dream
| ├──1. Plan of attack.mp4 25.40M
| ├──1. Plan of attack.srt 4.85kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──10. HOMEWORK.html 0.46kb
| ├──11. Homework solution.mp4 22.18M
| ├──11. Homework solution.srt 4.24kb
| ├──12. Additional reading.html 0.37kb
| ├──2. Deep dream – intuition.mp4 35.24M
| ├──2. Deep dream – intuition.srt 9.70kb
| ├──3. Loading the InceptionNet network.mp4 75.84M
| ├──3. Loading the InceptionNet network.srt 18.01kb
| ├──4. Loading and preprocessing the image.mp4 44.63M
| ├──4. Loading and preprocessing the image.srt 13.31kb
| ├──5. Getting the activations.mp4 37.21M
| ├──5. Getting the activations.srt 9.43kb
| ├──6. Calculating the loss.mp4 41.64M
| ├──6. Calculating the loss.srt 10.79kb
| ├──7. Gradient ascent 1.mp4 44.70M
| ├──7. Gradient ascent 1.srt 13.44kb
| ├──8. Gradient ascent 2.mp4 27.40M
| ├──8. Gradient ascent 2.srt 7.06kb
| ├──9. Generating images.mp4 90.29M
| └──9. Generating images.srt 11.75kb
├──13. Style transfer
| ├──1. Plan of attack.mp4 14.59M
| ├──1. Plan of attack.srt 4.50kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──10. Training the neural network 2.mp4 120.81M
| ├──10. Training the neural network 2.srt 21.20kb
| ├──11. Visualizing the result.mp4 32.90M
| ├──11. Visualizing the result.srt 5.52kb
| ├──12. HOMEWORK.html 0.50kb
| ├──13. Homework solution.mp4 40.86M
| ├──13. Homework solution.srt 6.45kb
| ├──14. Additional reading.html 0.54kb
| ├──2. Style transfer – intuition.mp4 40.20M
| ├──2. Style transfer – intuition.srt 8.68kb
| ├──3. Loading VGG19 network.mp4 38.71M
| ├──3. Loading VGG19 network.srt 9.04kb
| ├──4. Loading and pre-processing the images.mp4 59.98M
| ├──4. Loading and pre-processing the images.srt 16.04kb
| ├──5. Building the neural network 1.mp4 108.26M
| ├──5. Building the neural network 1.srt 23.87kb
| ├──6. Building the neural network 2.mp4 79.50M
| ├──6. Building the neural network 2.srt 15.33kb
| ├──7. Building the neural network 3.mp4 92.60M
| ├──7. Building the neural network 3.srt 20.62kb
| ├──8. Building the neural network 4.mp4 71.87M
| ├──8. Building the neural network 4.srt 15.56kb
| ├──9. Training the neural network 1.mp4 75.07M
| └──9. Training the neural network 1.srt 22.17kb
├──14. GANs (Generative adversarial networks)
| ├──1. Plan of attack.mp4 25.16M
| ├──1. Plan of attack.srt 5.30kb
| ├──1.1 Homework solution.html 0.14kb
| ├──1.2 Source code – Google Colab File.html 0.14kb
| ├──10. HOMEWORK.html 0.53kb
| ├──11. Homerwork solution.mp4 37.61M
| ├──11. Homerwork solution.srt 6.85kb
| ├──12. Additional reading.html 0.50kb
| ├──2. GANs – intuition.mp4 61.19M
| ├──2. GANs – intuition.srt 16.63kb
| ├──3. Loading the dataset.mp4 95.75M
| ├──3. Loading the dataset.srt 21.14kb
| ├──4. Building the generator 1.mp4 106.83M
| ├──4. Building the generator 1.srt 23.56kb
| ├──5. Building the generator 2.mp4 48.88M
| ├──5. Building the generator 2.srt 10.69kb
| ├──6. Building the discriminator.mp4 64.64M
| ├──6. Building the discriminator.srt 15.18kb
| ├──7. Calculating the loss.mp4 51.01M
| ├──7. Calculating the loss.srt 12.08kb
| ├──8. Training the GAN 1.mp4 71.39M
| ├──8. Training the GAN 1.srt 17.27kb
| ├──9. Training the GAN 2.mp4 67.37M
| └──9. Training the GAN 2.srt 16.22kb
├──15. Image segmentation
| ├──1. Plan of attack.mp4 33.63M
| ├──1. Plan of attack.srt 8.57kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──10. Segmentation in videos 2.mp4 44.15M
| ├──10. Segmentation in videos 2.srt 8.14kb
| ├──11. HOMEWORK.html 0.40kb
| ├──12. Homerwork solution.mp4 30.59M
| ├──12. Homerwork solution.srt 4.51kb
| ├──13. Additional reading.html 0.68kb
| ├──2. Image segmentation – intuition.mp4 61.98M
| ├──2. Image segmentation – intuition.srt 14.32kb
| ├──3. Downloading the repository.mp4 24.28M
| ├──3. Downloading the repository.srt 6.08kb
| ├──4. Importing the libraries(1).mp4 76.74M
| ├──4. Importing the libraries.mp4 76.74M
| ├──4. Importing the libraries.srt 16.57kb
| ├──5. Loading the pre-trained neural network(1).mp4 53.58M
| ├──5. Loading the pre-trained neural network.mp4 53.58M
| ├──5. Loading the pre-trained neural network.srt 13.63kb
| ├──6. Detecting objects.mp4 100.05M
| ├──6. Detecting objects.srt 15.68kb
| ├──7. Removing the background 1.mp4 106.25M
| ├──7. Removing the background 1.srt 17.35kb
| ├──8. Removing the background 2.mp4 44.45M
| ├──8. Removing the background 2.srt 8.99kb
| ├──9. Segmentation in videos 1.mp4 56.26M
| └──9. Segmentation in videos 1.srt 13.00kb
├──16. Final remarks
| ├──1. Final remarks.mp4 17.70M
| └──1. Final remarks.srt 4.36kb
├──2. Face detection
| ├──1. Plan of attack.mp4 32.36M
| ├──1. Plan of attack.srt 6.66kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──10. Homework solution.mp4 17.01M
| ├──10. Homework solution.srt 3.47kb
| ├──11. HOG (Histrograms of Oriented Gradients) – intuition.mp4 73.12M
| ├──11. HOG (Histrograms of Oriented Gradients) – intuition.srt 16.79kb
| ├──12. Face detection with HOG and Dlib.mp4 75.01M
| ├──12. Face detection with HOG and Dlib.srt 16.26kb
| ├──13. Face detection with CNN and Dlib.mp4 36.83M
| ├──13. Face detection with CNN and Dlib.srt 8.52kb
| ├──14. HOMEWORK – Haarcascade x HOG x CNN.html 0.52kb
| ├──15. Homework solution.mp4 36.33M
| ├──15. Homework solution.srt 8.05kb
| ├──16. Anaconda and PyCharm.mp4 14.27M
| ├──16. Anaconda and PyCharm.srt 5.19kb
| ├──17. Face detection on the webcam.mp4 59.25M
| ├──17. Face detection on the webcam.srt 12.09kb
| ├──18. Additional reading.html 1.18kb
| ├──2. Images and pixels.mp4 29.25M
| ├──2. Images and pixels.srt 6.41kb
| ├──3. Cascade classifier – intuition.mp4 82.29M
| ├──3. Cascade classifier – intuition.srt 14.09kb
| ├──4. Loading and pre-processing the image.mp4 77.28M
| ├──4. Loading and pre-processing the image.srt 18.50kb
| ├──5. Face detection with Haarcascade and OpenCV.mp4 108.63M
| ├──5. Face detection with Haarcascade and OpenCV.srt 19.01kb
| ├──6. Haarcascades parameters 1.mp4 83.33M
| ├──6. Haarcascades parameters 1.srt 10.83kb
| ├──7. Haarcascades parameters 2.mp4 104.87M
| ├──7. Haarcascades parameters 2.srt 13.43kb
| ├──8. Eye detection with haarcascades.mp4 130.24M
| ├──8. Eye detection with haarcascades.srt 15.25kb
| └──9. HOMERWORK – detecting other objects.html 0.60kb
├──3. Face recognition
| ├──1. Plan of attack.mp4 16.04M
| ├──1. Plan of attack.srt 7.24kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──10. Detecting facial points.mp4 97.90M
| ├──10. Detecting facial points.srt 16.56kb
| ├──11. Detecting facial descriptors 1.mp4 104.80M
| ├──11. Detecting facial descriptors 1.srt 20.82kb
| ├──12. Detecting facial descriptors 2.mp4 124.79M
| ├──12. Detecting facial descriptors 2.srt 22.52kb
| ├──13. Calculating distances between faces.mp4 119.32M
| ├──13. Calculating distances between faces.srt 19.85kb
| ├──14. Recognizing faces with Dlib 1.mp4 87.22M
| ├──14. Recognizing faces with Dlib 1.srt 16.43kb
| ├──15. Recognizing faces with Dlib 2.mp4 28.88M
| ├──15. Recognizing faces with Dlib 2.srt 5.64kb
| ├──16. HOMEWORK.html 0.62kb
| ├──17. Homework solution.mp4 42.29M
| ├──17. Homework solution.srt 9.17kb
| ├──18. Face recognition on the webcam.mp4 40.58M
| ├──18. Face recognition on the webcam.srt 7.86kb
| ├──19. Additional reading.html 1.15kb
| ├──2. LBPH algorithm – intuition.mp4 35.87M
| ├──2. LBPH algorithm – intuition.srt 13.11kb
| ├──3. Loading the faces dataset.mp4 59.10M
| ├──3. Loading the faces dataset.srt 14.02kb
| ├──4. Preprocessing the images.mp4 98.38M
| ├──4. Preprocessing the images.srt 22.28kb
| ├──5. Training the LBPH classifier.mp4 21.73M
| ├──5. Training the LBPH classifier.srt 6.29kb
| ├──6. Recognizing faces with LBPH.mp4 48.13M
| ├──6. Recognizing faces with LBPH.srt 11.74kb
| ├──7. Evaluating the LBPH classifier.mp4 70.61M
| ├──7. Evaluating the LBPH classifier.srt 15.75kb
| ├──8. LBPH parameters.mp4 20.98M
| ├──8. LBPH parameters.srt 6.56kb
| ├──9. LBPH parameters – implementation.mp4 31.70M
| └──9. LBPH parameters – implementation.srt 6.21kb
├──4. Object tracking
| ├──1. Plan of attack.mp4 26.29M
| ├──1. Plan of attack.srt 6.75kb
| ├──2. Object tracking vs. object detection.mp4 28.66M
| ├──2. Object tracking vs. object detection.srt 8.17kb
| ├──3. KCF and CSRT algorithms.mp4 49.43M
| ├──3. KCF and CSRT algorithms.srt 10.56kb
| ├──4. Object tracking with KCF.mp4 100.81M
| ├──4. Object tracking with KCF.srt 20.54kb
| ├──5. Object tracking with CSRT.mp4 22.13M
| ├──5. Object tracking with CSRT.srt 3.29kb
| ├──6. HOMEWORK.html 0.48kb
| ├──7. Homework solution.mp4 46.39M
| ├──7. Homework solution.srt 6.81kb
| └──8. Additional reading.html 0.77kb
├──5. Neural networks for image classification
| ├──1. Plan of attack.mp4 12.78M
| ├──1. Plan of attack.srt 5.47kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──1.2 Homework solution.html 0.14kb
| ├──10. Hidden layer activation 2.mp4 17.28M
| ├──10. Hidden layer activation 2.srt 6.50kb
| ├──11. Output layer activation.mp4 19.43M
| ├──11. Output layer activation.srt 7.24kb
| ├──12. Error calculation (loss function).mp4 22.25M
| ├──12. Error calculation (loss function).srt 7.12kb
| ├──13. Basic algorithm.mp4 10.59M
| ├──13. Basic algorithm.srt 6.55kb
| ├──14. Gradient descent and derivative.mp4 46.27M
| ├──14. Gradient descent and derivative.srt 13.90kb
| ├──15. Output layer delta.mp4 21.47M
| ├──15. Output layer delta.srt 8.59kb
| ├──16. Hidden layer delta.mp4 32.27M
| ├──16. Hidden layer delta.srt 10.70kb
| ├──17. Backpropagation and learning rate.mp4 21.25M
| ├──17. Backpropagation and learning rate.srt 10.79kb
| ├──18. Weight update with backprogation 1.mp4 31.44M
| ├──18. Weight update with backprogation 1.srt 9.48kb
| ├──19. Weight update with backprogation 2.mp4 35.76M
| ├──19. Weight update with backprogation 2.srt 12.39kb
| ├──2. Biological fundamentals.mp4 56.68M
| ├──2. Biological fundamentals.srt 9.02kb
| ├──20. Bias, error and multiple outputs.mp4 61.68M
| ├──20. Bias, error and multiple outputs.srt 17.41kb
| ├──21. Hidden layers.mp4 35.73M
| ├──21. Hidden layers.srt 17.85kb
| ├──22. Output layer with categorical data.mp4 26.44M
| ├──22. Output layer with categorical data.srt 7.02kb
| ├──23. Stochastic gradient descent.mp4 25.49M
| ├──23. Stochastic gradient descent.srt 8.35kb
| ├──24. Deep learning.mp4 12.26M
| ├──24. Deep learning.srt 5.19kb
| ├──25. Pixels and neural networks.mp4 30.28M
| ├──25. Pixels and neural networks.srt 9.45kb
| ├──26. Importing the libraries.mp4 18.57M
| ├──26. Importing the libraries.srt 6.96kb
| ├──27. Extracting pixels from images 1.mp4 67.13M
| ├──27. Extracting pixels from images 1.srt 17.12kb
| ├──28. Extracting pixels from images 2.mp4 59.28M
| ├──28. Extracting pixels from images 2.srt 15.49kb
| ├──29. Extracting pixels from images 3.mp4 48.24M
| ├──29. Extracting pixels from images 3.srt 10.85kb
| ├──3. Artificial neuron.mp4 26.24M
| ├──3. Artificial neuron.srt 11.65kb
| ├──30. Extracting pixels from images 4.mp4 47.23M
| ├──30. Extracting pixels from images 4.srt 11.68kb
| ├──31. Normalizing the data.mp4 18.44M
| ├──31. Normalizing the data.srt 6.22kb
| ├──32. Creating the train and test sets.mp4 21.99M
| ├──32. Creating the train and test sets.srt 8.28kb
| ├──33. Building and training the neural network.mp4 64.21M
| ├──33. Building and training the neural network.srt 18.50kb
| ├──34. Evaluating the neural network.mp4 62.39M
| ├──34. Evaluating the neural network.srt 18.95kb
| ├──35. Saving and loading the network.mp4 37.65M
| ├──35. Saving and loading the network.srt 10.55kb
| ├──36. Classifying one single image.mp4 34.27M
| ├──36. Classifying one single image.srt 9.62kb
| ├──37. Extracting features from images.mp4 56.88M
| ├──37. Extracting features from images.srt 17.53kb
| ├──38. Feature extraction with OpenCV 1.mp4 31.63M
| ├──38. Feature extraction with OpenCV 1.srt 9.65kb
| ├──39. Feature extraction with OpenCV 2.mp4 97.49M
| ├──39. Feature extraction with OpenCV 2.srt 22.43kb
| ├──4. Perceptron.mp4 35.13M
| ├──4. Perceptron.srt 15.35kb
| ├──40. Feature extraction with OpenCV 3.mp4 54.64M
| ├──40. Feature extraction with OpenCV 3.srt 10.27kb
| ├──41. Feature extraction with OpenCV 4.mp4 53.68M
| ├──41. Feature extraction with OpenCV 4.srt 9.54kb
| ├──42. Feature extraction with OpenCV 5.mp4 56.79M
| ├──42. Feature extraction with OpenCV 5.srt 10.82kb
| ├──43. Creating the train and test sets.mp4 23.86M
| ├──43. Creating the train and test sets.srt 5.93kb
| ├──44. Building and training the neural network.mp4 40.03M
| ├──44. Building and training the neural network.srt 10.96kb
| ├──45. Evaluating the neural network.mp4 37.66M
| ├──45. Evaluating the neural network.srt 12.74kb
| ├──46. Saving, loading and classifying one single image.mp4 31.42M
| ├──46. Saving, loading and classifying one single image.srt 8.84kb
| ├──47. HOMEWORK.html 0.58kb
| ├──48. Homework solution.mp4 60.27M
| ├──48. Homework solution.srt 15.73kb
| ├──49. Additional reading.html 1.00kb
| ├──5. Weight update 1.mp4 42.07M
| ├──5. Weight update 1.srt 18.68kb
| ├──6. Weight update 2.mp4 52.90M
| ├──6. Weight update 2.srt 21.56kb
| ├──7. Introduction to multilayer neural networks.mp4 11.59M
| ├──7. Introduction to multilayer neural networks.srt 5.98kb
| ├──8. Activation functions.mp4 14.96M
| ├──8. Activation functions.srt 8.25kb
| ├──9. Hidden layer activation 1.mp4 21.58M
| └──9. Hidden layer activation 1.srt 7.74kb
├──6. Convolutional neural networks for image classification
| ├──1. Plan of attack.mp4 8.11M
| ├──1. Plan of attack.srt 3.50kb
| ├──1.1 Homework solution.html 0.14kb
| ├──1.2 Source code – Google Colab File.html 0.14kb
| ├──10. Building and training the neural network.mp4 85.79M
| ├──10. Building and training the neural network.srt 21.13kb
| ├──11. Evaluating the neural network.mp4 52.35M
| ├──11. Evaluating the neural network.srt 12.77kb
| ├──12. Saving and loading the network.mp4 18.56M
| ├──12. Saving and loading the network.srt 4.39kb
| ├──13. Classifying one single image.mp4 28.71M
| ├──13. Classifying one single image.srt 10.23kb
| ├──14. HOMEWORK.html 0.73kb
| ├──15. Homework solution.mp4 68.98M
| ├──15. Homework solution.srt 15.82kb
| ├──16. Additional reading.html 1.05kb
| ├──2. Introduction to convolutional neural networks.mp4 51.86M
| ├──2. Introduction to convolutional neural networks.srt 11.68kb
| ├──3. Convolutional operation.mp4 37.10M
| ├──3. Convolutional operation.srt 14.99kb
| ├──4. Pooling.mp4 23.02M
| ├──4. Pooling.srt 8.51kb
| ├──5. Flattening.mp4 57.91M
| ├──5. Flattening.srt 10.51kb
| ├──6. Dense neural network.mp4 40.22M
| ├──6. Dense neural network.srt 8.21kb
| ├──7. Importing the libraries.mp4 19.59M
| ├──7. Importing the libraries.srt 5.69kb
| ├──8. Loading the images.mp4 28.66M
| ├──8. Loading the images.srt 7.36kb
| ├──9. Creating the train and test dataset.mp4 69.23M
| └──9. Creating the train and test dataset.srt 17.39kb
├──7. Transfer learning and fine tuning
| ├──1. Plan of attack.mp4 9.98M
| ├──1. Plan of attack.srt 3.70kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──1.2 Homework solution.html 0.14kb
| ├──10. Fine tuning – implementation and evaluation.mp4 45.76M
| ├──10. Fine tuning – implementation and evaluation.srt 8.85kb
| ├──11. Saving, loading and classifying one single image.mp4 19.67M
| ├──11. Saving, loading and classifying one single image.srt 4.94kb
| ├──12. HOMEWORK.html 0.73kb
| ├──13. Homework solution.mp4 66.45M
| ├──13. Homework solution.srt 15.39kb
| ├──14. Additional reading.html 0.57kb
| ├──2. Transfer learning – intuition.mp4 37.04M
| ├──2. Transfer learning – intuition.srt 10.28kb
| ├──3. Importing the libraries and dataset.mp4 30.81M
| ├──3. Importing the libraries and dataset.srt 8.29kb
| ├──4. Creating the train and test dataset.mp4 21.26M
| ├──4. Creating the train and test dataset.srt 5.91kb
| ├──5. Pre-trained neural network.mp4 98.67M
| ├──5. Pre-trained neural network.srt 19.29kb
| ├──6. Creating the custom dense layer.mp4 48.86M
| ├──6. Creating the custom dense layer.srt 11.82kb
| ├──7. Building and training the neural network.mp4 46.64M
| ├──7. Building and training the neural network.srt 9.56kb
| ├──8. Evaluating the neural network.mp4 32.90M
| ├──8. Evaluating the neural network.srt 9.01kb
| ├──9. Fine tuning – intuition.mp4 14.83M
| └──9. Fine tuning – intuition.srt 4.22kb
├──8. Neural networks for classification of emotions
| ├──1. Plan of attack.mp4 29.94M
| ├──1. Plan of attack.srt 6.20kb
| ├──1.1 Homerwork solution.html 0.14kb
| ├──1.2 Source code – Google Colab File.html 0.14kb
| ├──10. HOMEWORK.html 0.65kb
| ├──11. Homework solution.mp4 38.74M
| ├──11. Homework solution.srt 9.15kb
| ├──12. Additional reading.html 0.63kb
| ├──2. Importing the libraries and images.mp4 38.01M
| ├──2. Importing the libraries and images.srt 9.00kb
| ├──3. Creating the train and test dataset.mp4 25.94M
| ├──3. Creating the train and test dataset.srt 6.75kb
| ├──4. Building and training the neural network.mp4 113.09M
| ├──4. Building and training the neural network.srt 21.29kb
| ├──5. Saving and loading the model.mp4 15.06M
| ├──5. Saving and loading the model.srt 2.71kb
| ├──6. Evaluating the neural network.mp4 30.30M
| ├──6. Evaluating the neural network.srt 8.25kb
| ├──7. Classifying one single image.mp4 43.13M
| ├──7. Classifying one single image.srt 12.48kb
| ├──8. Classifying multiple images.mp4 66.16M
| ├──8. Classifying multiple images.srt 11.93kb
| ├──9. Classifying emotions in videos.mp4 89.48M
| └──9. Classifying emotions in videos.srt 16.64kb
└──9. Autoencoders
| ├──1. Plan of attack.mp4 9.87M
| ├──1. Plan of attack.srt 4.48kb
| ├──1.1 Source code – Google Colab File.html 0.14kb
| ├──1.2 Homework solution.html 0.14kb
| ├──10. Convolutional autoencoders 1.mp4 37.47M
| ├──10. Convolutional autoencoders 1.srt 10.20kb
| ├──11. Convolutional autoencoders 2.mp4 126.74M
| ├──11. Convolutional autoencoders 2.srt 26.68kb
| ├──12. Convolutional autoencoders 3.mp4 64.81M
| ├──12. Convolutional autoencoders 3.srt 11.09kb
| ├──13. Convolutional autoencoders 4.mp4 60.49M
| ├──13. Convolutional autoencoders 4.srt 12.98kb
| ├──14. HOMEWORK.html 0.80kb
| ├──15. Homework solution.mp4 94.26M
| ├──15. Homework solution.srt 17.70kb
| ├──16. Additional reading.html 0.70kb
| ├──2. Autoencoders – intuition.mp4 27.89M
| ├──2. Autoencoders – intuition.srt 10.90kb
| ├──3. Importing the libraries and dataset.mp4 32.46M
| ├──3. Importing the libraries and dataset.srt 9.20kb
| ├──4. Visualizing the images.mp4 60.16M
| ├──4. Visualizing the images.srt 13.49kb
| ├──5. Preprocessing the images.mp4 26.26M
| ├──5. Preprocessing the images.srt 8.29kb
| ├──6. Building and training a linear autoencoder.mp4 61.57M
| ├──6. Building and training a linear autoencoder.srt 16.33kb
| ├──7. Encoding the images.mp4 54.50M
| ├──7. Encoding the images.srt 12.18kb
| ├──8. Decoding the images.mp4 53.11M
| ├──8. Decoding the images.srt 12.48kb
| ├──9. Encoding and decoding the test images.mp4 62.15M
| └──9. Encoding and decoding the test images.srt 13.66kb
声明：牛马资源站所有文章，如无特殊说明或标注，均为本站原创发布。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。