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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 1.1 steps_to_follow.txt |
1.76Кб |
| 1. community message.mp4 |
23.72Мб |
| 1. community message.srt |
1.22Кб |
| 1. Eyes-Face-detector-cv2-python.mp4 |
131.63Мб |
| 1. Eyes-Face-detector-cv2-python.srt |
12.80Кб |
| 1. Googal Colab and TensorFlow.mp4 |
51.96Мб |
| 1. Googal Colab and TensorFlow.srt |
3.72Кб |
| 1. Image labeling with image data generator.mp4 |
103.98Мб |
| 1. Image labeling with image data generator.srt |
14.76Кб |
| 1. Module Intro.mp4 |
39.85Мб |
| 1. Module Intro.srt |
2.65Кб |
| 1. Solving a neural network on paper.mp4 |
345.47Мб |
| 1. Solving a neural network on paper.srt |
31.24Кб |
| 1. TensorFlow object detection API setup.mp4 |
296.54Мб |
| 1. TensorFlow object detection API setup.srt |
22.55Кб |
| 1. Yolo Object detection Tutorial.mp4 |
276.88Мб |
| 1. Yolo Object detection Tutorial.srt |
25.03Кб |
| 2.1 How computer stores images.html |
89б |
| 2. CNN Components.mp4 |
218.50Мб |
| 2. CNN Components.srt |
25.13Кб |
| 2. Creating Simple Model and train it first.mp4 |
118.08Мб |
| 2. Creating Simple Model and train it first.srt |
10.74Кб |
| 2. Cv2-Live-video-Transformations.mp4 |
137.74Мб |
| 2. Cv2-Live-video-Transformations.srt |
14.03Кб |
| 2. General Idea about Neural Network.mp4 |
170.60Мб |
| 2. General Idea about Neural Network.srt |
10.19Кб |
| 2. Mounting google drive on google colab.mp4 |
30.02Мб |
| 2. Mounting google drive on google colab.srt |
4.79Кб |
| 2. multiple object detection with TenserFlow.mp4 |
225.89Мб |
| 2. multiple object detection with TenserFlow.srt |
14.33Кб |
| 2. RESNET Intro.mp4 |
85.02Мб |
| 2. RESNET Intro.srt |
5.19Кб |
| 2. training object detection model with own data.mp4 |
590.24Мб |
| 2. training object detection model with own data.srt |
41.24Кб |
| 3.1 First_Exercise.ipynb |
279.65Кб |
| 3. CNN-Components.mp4 |
344.60Мб |
| 3. CNN-Components.srt |
26.39Кб |
| 3. Cv2-Contoor-detection.mp4 |
159.56Мб |
| 3. Cv2-Contoor-detection.srt |
14.54Кб |
| 3. Exercise Training a Neural Network on colab.mp4 |
192.04Мб |
| 3. Exercise Training a Neural Network on colab.srt |
15.40Кб |
| 3. PCA - Principle component analysis.mp4 |
115.64Мб |
| 3. PCA - Principle component analysis.srt |
10.27Кб |
| 3. RESNET50.mp4 |
108.25Мб |
| 3. RESNET50.srt |
16.56Кб |
| 3. Testing your model performance.mp4 |
81.14Мб |
| 3. Testing your model performance.srt |
8.23Кб |
| 4. Generating Confusion Matrix and saving the model.mp4 |
92.55Мб |
| 4. Generating Confusion Matrix and saving the model.srt |
10.58Кб |
| 4. Intro to sigmoid function.mp4 |
40.98Мб |
| 4. Intro to sigmoid function.srt |
5.44Кб |
| 4. Training Residual Neural Network.mp4 |
70.81Мб |
| 4. Training Residual Neural Network.srt |
9.37Кб |
| 5. Coding Exercise Train CNN model with your own images.mp4 |
140.18Мб |
| 5. Coding Exercise Train CNN model with your own images.srt |
21.19Кб |
| 5. Intro to Relu activation function.mp4 |
84.14Мб |
| 5. Intro to Relu activation function.srt |
7.63Кб |
| 6. Course Objective.mp4 |
38.31Мб |
| 6. Course Objective.srt |
2.09Кб |
| 6. Creating First Transfer-learning Program.mp4 |
125.99Мб |
| 6. Creating First Transfer-learning Program.srt |
12.83Кб |
| TutsNode.com.txt |
63б |