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[TGx]Downloaded from torrentgalaxy.to .txt |
585б |
0 |
1.06Мб |
1 |
501.23Кб |
10 |
1.31Мб |
10 - Sparse Tensors.mp4 |
18.03Мб |
11 |
1.80Мб |
11 - String Tensors.mp4 |
23.02Мб |
12 |
563.93Кб |
12 - Variables.mp4 |
44.94Мб |
13 |
952.62Кб |
13 - Understanding the Task.mp4 |
30.55Мб |
14 |
364.36Кб |
14 - Data Preparation.mp4 |
276.34Мб |
15 |
795.06Кб |
15 - Linear Regression Model.mp4 |
105.13Мб |
16 |
1.66Мб |
16 - Error Sanctioning.mp4 |
95.16Мб |
17 |
1.82Мб |
17 - Training and Optimization.mp4 |
116.68Мб |
18 |
1.12Мб |
18 - Performance Measurement.mp4 |
21.96Мб |
19 |
1.19Мб |
19 - Validation and Testing.mp4 |
135.69Мб |
1 - Welcome.mp4 |
32.05Мб |
2 |
367.20Кб |
20 |
561.81Кб |
20 - Corrective Measures.mp4 |
195.84Мб |
21 |
1.32Мб |
21 - Understanding the Task.mp4 |
63.76Мб |
22 |
663.58Кб |
22 - Data Preparation.mp4 |
160.60Мб |
23 |
981.71Кб |
23 - Data Visualization.mp4 |
16.84Мб |
24 |
632.64Кб |
24 - Data Processing.mp4 |
54.47Мб |
25 |
1.23Мб |
25 - How and Why Convolutional Neural Networks Work.mp4 |
348.69Мб |
26 |
1.44Мб |
26 - Building ConvNets with TensorFlow.mp4 |
44.70Мб |
27 |
585.17Кб |
27 - Binary Crossentropy Loss.mp4 |
47.15Мб |
28 |
1.87Мб |
28 - Training.mp4 |
113.73Мб |
29 |
1.88Мб |
29 - Model Evaluation and Testing.mp4 |
39.69Мб |
2 - General Introduction.mp4 |
202.13Мб |
3 |
1.97Мб |
30 |
161.63Кб |
30 - Loading and Saving tensorflow models to gdrive.mp4 |
128.91Мб |
31 |
1.03Мб |
31 - Functional API.mp4 |
138.42Мб |
32 |
1.76Мб |
32 - Model Subclassing.mp4 |
119.56Мб |
33 |
840.76Кб |
33 - Custom Layers.mp4 |
135.67Мб |
34 |
728.38Кб |
34 - PrecisionRecallAccuracy.mp4 |
211.38Мб |
35 |
1.70Мб |
35 - Confusion Matrix.mp4 |
62.32Мб |
36 |
1.92Мб |
36 - ROC curve.mp4 |
50.20Мб |
37 |
560.18Кб |
37 - Callbacks with TensorFlow.mp4 |
217.35Мб |
38 |
147.15Кб |
38 - Learning Rate Scheduling.mp4 |
136.79Мб |
39 |
1.40Мб |
39 - Model Checkpointing.mp4 |
61.80Мб |
3 - Basics.mp4 |
43.54Мб |
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47.65Кб |
40 |
1.47Мб |
40 - Mitigating Overfitting and Underfitting with Dropout Regularization.mp4 |
202.12Мб |
41 |
1.92Мб |
41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 |
424.03Мб |
42 |
1.31Мб |
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata.mp4 |
161.86Мб |
43 |
1.81Мб |
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4 |
344.20Мб |
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1.80Мб |
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 |
617.51Мб |
45 |
1.58Мб |
45 - Custom Loss and Metrics in TensorFlow 2.mp4 |
176.08Мб |
46 |
582.71Кб |
46 - Eager and Graph Modes in TensorFlow 2.mp4 |
88.71Мб |
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1.21Мб |
47 - Custom Training Loops in TensorFlow 2.mp4 |
234.88Мб |
48 |
313.78Кб |
48 - Log data.mp4 |
287.22Мб |
49 |
342.80Кб |
49 - view model graphs.mp4 |
21.49Мб |
4 - Initialization and Casting.mp4 |
406.53Мб |
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1.47Мб |
50 |
1.09Мб |
50 - hyperparameter tuning.mp4 |
194.97Мб |
51 |
82.38Кб |
51 - Profiling and other visualizations with Tensorboard.mp4 |
69.15Мб |
52 |
455.62Кб |
52 - Experiment Tracking.mp4 |
469.64Мб |
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1.32Мб |
53 - Hyperparameter Tuning with Weights and Biases and TensorFlow 2.mp4 |
222.68Мб |
54 |
1.57Мб |
54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 |
329.45Мб |
55 |
276.91Кб |
55 - Model Versioning with Weights and Biases and TensorFlow 2.mp4 |
137.43Мб |
56 |
1.79Мб |
56 - data preparation.mp4 |
225.45Мб |
57 |
1.65Мб |
57 - Modeling and Training.mp4 |
371.89Мб |
58 |
887.00Кб |
58 - Data augmentation.mp4 |
142.19Мб |
59 |
1.36Мб |
59 - Tensorflow records.mp4 |
293.64Мб |
5 - Indexing.mp4 |
77.57Мб |
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1.40Мб |
60 |
1.78Мб |
60 - Alexnet.mp4 |
183.29Мб |
61 |
860.05Кб |
61 - vggnet.mp4 |
116.43Мб |
62 |
1.29Мб |
62 - resnet.mp4 |
351.78Мб |
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1.52Мб |
63 - coding resnet.mp4 |
180.30Мб |
64 |
442.60Кб |
64 - mobilenet.mp4 |
206.77Мб |
65 |
1.19Мб |
65 - efficientnet.mp4 |
189.18Мб |
66 |
867.16Кб |
66 - Pretrained Models.mp4 |
163.45Мб |
67 |
1.02Мб |
67 - Finetuning.mp4 |
112.21Мб |
68 |
247.90Кб |
68 - visualizing intermediate layers.mp4 |
158.08Мб |
69 |
1.68Мб |
69 - gradcam method.mp4 |
226.81Мб |
6 - Maths Operations.mp4 |
215.04Мб |
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115.04Кб |
70 |
205.32Кб |
70 - Ensembling.mp4 |
45.25Мб |
71 |
1.53Мб |
71 - Class imbalance.mp4 |
100.64Мб |
72 |
1.80Мб |
72 - Understanding VITs.mp4 |
421.95Мб |
73 |
872.48Кб |
73 - Building VITs from scratch.mp4 |
398.60Мб |
74 |
768.43Кб |
74 - Finetuning Huggingface VITs.mp4 |
206.56Мб |
75 |
1.06Мб |
75 - Model Evaluation with Wandb.mp4 |
140.20Мб |
76 |
1.30Мб |
76 - Data efficient Transformers.mp4 |
72.81Мб |
77 |
468.38Кб |
77 - Swin Transformers.mp4 |
192.24Мб |
78 |
317.01Кб |
78 - Conversion from tensorflow to Onnx Model.mp4 |
205.43Мб |
79 |
1.95Мб |
79 - Understanding quantization.mp4 |
268.18Мб |
7 - Linear Algebra Operations.mp4 |
371.50Мб |
8 |
508.17Кб |
80 |
1.45Мб |
80 - Practical quantization of Onnx Model.mp4 |
64.98Мб |
81 |
1002.17Кб |
81 - Quantization Aware training.mp4 |
160.53Мб |
82 |
45.43Кб |
82 - Conversion to tensorflowlite model.mp4 |
154.69Мб |
83 |
526.72Кб |
83 - How APIs work.mp4 |
127.92Мб |
84 |
1.97Мб |
84 - Building API with Fastapi.mp4 |
674.94Мб |
85 - Deploying API to the Cloud.mp4 |
100.22Мб |
86 - Load testing API.mp4 |
106.35Мб |
8 - Common Methods.mp4 |
299.07Мб |
9 |
227.44Кб |
9 - RaggedTensors.mp4 |
78.48Мб |
TutsNode.net.txt |
63б |