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119б |
| 1 |
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| 10 |
132.52Кб |
| 100 |
1.23Мб |
| 100 - UNET model.mp4 |
113.20Мб |
| 100 - UNET model English.vtt |
17.21Кб |
| 101 |
451.76Кб |
| 101 - Training and Optimization.mp4 |
41.88Мб |
| 101 - Training and Optimization English.vtt |
5.27Кб |
| 102 |
832.96Кб |
| 102 - Data Augmentation and Dropout.mp4 |
27.24Мб |
| 102 - Data Augmentation and Dropout English.vtt |
4.62Кб |
| 103 |
864.87Кб |
| 103 - Class weighting and reduced network.mp4 |
123.39Мб |
| 103 - Class weighting and reduced network English.vtt |
15.64Кб |
| 104 |
1.37Мб |
| 104 - Semantic Segmentation Project.mp4 |
1.46Мб |
| 104 - Semantic Segmentation Project English.vtt |
511б |
| 105 |
1.65Мб |
| 105 - People Counting English.vtt |
12.26Кб |
| 105 - People Counting Shangai Tech Dataset.mp4 |
79.51Мб |
| 106 |
905.93Кб |
| 106 - Dataset Preparation.mp4 |
303.13Мб |
| 106 - Dataset Preparation English.vtt |
43.33Кб |
| 107 |
1.42Мб |
| 107 - CSRNET.mp4 |
71.35Мб |
| 107 - CSRNET English.vtt |
8.21Кб |
| 108 |
101.42Кб |
| 108 - Training and Optimization.mp4 |
49.16Мб |
| 108 - Training and Optimization English.vtt |
6.53Кб |
| 109 |
634.54Кб |
| 109 - Data Augmentation.mp4 |
245.48Мб |
| 109 - Data Augmentation English.vtt |
29.43Кб |
| 10 - Objects and Classes.mp4 |
59.12Мб |
| 10 - Objects and Classes English.vtt |
14.33Кб |
| 11 |
890.02Кб |
| 110 |
1.42Мб |
| 110 - Object Counting Project.mp4 |
2.79Мб |
| 110 - Object Counting Project English.vtt |
1.09Кб |
| 111 |
119.99Кб |
| 111 - FreEng Dataset and Task.mp4 |
123.01Мб |
| 111 - Fre English.vtt |
17.48Кб |
| 112 |
1.01Мб |
| 112 - Sequence to Sequence Models.mp4 |
198.22Мб |
| 112 - Sequence to Sequence Models English.vtt |
29.63Кб |
| 113 |
618.99Кб |
| 113 - Training Sequence to Sequence Models.mp4 |
14.89Мб |
| 113 - Training Sequence to Sequence Models English.vtt |
3.33Кб |
| 114 |
1.70Мб |
| 114 - Performance Measurement BLEU Score.mp4 |
167.50Мб |
| 114 - Performance Measurement English.vtt |
32.49Кб |
| 115 |
3.68Кб |
| 115 - Testing Sequence to Sequence Models.mp4 |
74.60Мб |
| 115 - Testing Sequence to Sequence Models English.vtt |
12.13Кб |
| 116 |
1.64Мб |
| 116 - Attention Mechanism Bahdanau Attention.mp4 |
421.45Мб |
| 116 - Attention Mechanism English.vtt |
60.24Кб |
| 117 |
1.98Мб |
| 117 - Transformers Theory.mp4 |
415.53Мб |
| 117 - Transformers Theory English.vtt |
53.46Кб |
| 118 |
252.29Кб |
| 118 - Building Transformers with TensorFlow 2.mp4 |
315.87Мб |
| 118 - Building Transformers with TensorFlow 2 English.vtt |
58.68Кб |
| 119 |
411.41Кб |
| 119 - Text Normalization project.mp4 |
23.77Мб |
| 119 - Text Normalization project English.vtt |
3.20Кб |
| 11 - Operator Overloading.mp4 |
52.88Мб |
| 11 - Operator Overloading English.vtt |
11.36Кб |
| 12 |
1.40Мб |
| 120 |
584.91Кб |
| 120 - Understanding Question Answering.mp4 |
12.90Мб |
| 120 - Understanding Question Answering English.vtt |
2.62Кб |
| 121 |
780.16Кб |
| 121 - SQUAD dataset.mp4 |
224.01Мб |
| 121 - SQUAD dataset English.vtt |
21.32Кб |
| 122 |
1.79Мб |
| 122 - SQUAD dataset preparation.mp4 |
165.34Мб |
| 122 - SQUAD dataset preparation English.vtt |
21.66Кб |
| 123 |
1.93Мб |
| 123 - Context Answer Network.mp4 |
62.43Мб |
| 123 - Context English.vtt |
10.05Кб |
| 124 |
239.81Кб |
| 124 - Training and Optimization.mp4 |
36.00Мб |
| 124 - Training and Optimization English.vtt |
5.82Кб |
| 125 |
1.77Мб |
| 125 - Data Augmentation.mp4 |
14.50Мб |
| 125 - Data Augmentation English.vtt |
2.39Кб |
| 126 |
479.55Кб |
| 126 - LSH Attention.mp4 |
478.77Мб |
| 126 - LSH Attention English.vtt |
77.27Кб |
| 127 |
1.12Мб |
| 127 - BERT Model.mp4 |
220.33Мб |
| 127 - BERT Model English.vtt |
18.56Кб |
| 128 |
1.86Мб |
| 128 - BERT Practice.mp4 |
288.60Мб |
| 128 - BERT Practice English.vtt |
36.29Кб |
| 129 |
1.11Мб |
| 129 - GPT Based Chatbot.mp4 |
11.11Мб |
| 129 - GPT Based Chatbot English.vtt |
1.27Кб |
| 12 - Method Types.mp4 |
48.35Мб |
| 12 - Method Types English.vtt |
8.86Кб |
| 13 |
516.34Кб |
| 130 |
1.50Мб |
| 130 - What is Automatic Speech Recognition.mp4 |
12.41Мб |
| 130 - What is Automatic Speech Recognition English.vtt |
2.86Кб |
| 131 |
1.54Мб |
| 131 - LJ English.vtt |
8.31Кб |
| 131 - LJ Speech Dataset.mp4 |
45.90Мб |
| 132 |
615.40Кб |
| 132 - Fourier Transform.mp4 |
224.19Мб |
| 132 - Fourier Transform English.vtt |
35.80Кб |
| 133 |
695.76Кб |
| 133 - Short Time Fourier Transform.mp4 |
160.96Мб |
| 133 - Short Time Fourier Transform English.vtt |
26.28Кб |
| 134 |
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| 134 - Conv CTC Model.mp4 |
115.32Мб |
| 134 - Conv English.vtt |
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| 135 |
1.57Мб |
| 135 - Speech Transformer.mp4 |
234.21Мб |
| 135 - Speech Transformer English.vtt |
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| 136 |
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| 136 - Audio Classification project.mp4 |
4.42Мб |
| 136 - Audio Classification project English.vtt |
736б |
| 137 |
430.43Кб |
| 137 - Flickr 30k Dataset.mp4 |
188.01Мб |
| 137 - Flickr 30k Dataset English.vtt |
23.01Кб |
| 138 |
916.46Кб |
| 138 - CNN English.vtt |
6.56Кб |
| 138 - CNN Transformer Model.mp4 |
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| 139 |
1.41Мб |
| 139 - Training and Optimization.mp4 |
177.09Мб |
| 139 - Training and Optimization English.vtt |
21.08Кб |
| 13 - Inheritance.mp4 |
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| 13 - Inheritance English.vtt |
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| 14 |
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| 140 |
1.57Мб |
| 140 - Vision Transformers.mp4 |
238.28Мб |
| 140 - Vision Transformers English.vtt |
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| 141 |
1.54Мб |
| 141 - OCR Project.mp4 |
4.12Мб |
| 141 - OCR Project English.vtt |
766б |
| 142 |
222.49Кб |
| 142 - Introduction to Generative Modeling.mp4 |
77.31Мб |
| 142 - Introduction to Generative Modeling English.vtt |
7.65Кб |
| 143 |
320.38Кб |
| 143 - Image Generation.mp4 |
88.68Мб |
| 143 - Image Generation English.vtt |
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| 144 |
908.49Кб |
| 144 - GAN Loss.mp4 |
55.57Мб |
| 144 - GAN Loss English.vtt |
10.12Кб |
| 145 |
1.53Мб |
| 145 - GAN training and Optimization.mp4 |
190.03Мб |
| 145 - GAN training and Optimization English.vtt |
26.32Кб |
| 146 |
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| 146 - Wasserstein GAN.mp4 |
277.51Мб |
| 146 - Wasserstein GAN English.vtt |
35.77Кб |
| 147 |
1.88Мб |
| 147 - Image to Image Translation Project.mp4 |
5.69Мб |
| 147 - Image to Image Translation Project English.vtt |
895б |
| 148 - Introduction.mp4 |
24.07Мб |
| 148 - Introduction English.vtt |
5.03Кб |
| 149 - Model Preparation.mp4 |
63.93Мб |
| 149 - Model Preparation English.vtt |
8.03Кб |
| 14 - Encapsulation.mp4 |
11.58Мб |
| 14 - Encapsulation English.vtt |
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| 15 |
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| 150 - Deployment.mp4 |
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| 150 - Deployment English.vtt |
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| 15 - Polymorphism.mp4 |
13.40Мб |
| 15 - Polymorphism English.vtt |
2.44Кб |
| 16 |
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| 16 - Decorators.mp4 |
90.74Мб |
| 16 - Decorators English.vtt |
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| 17 |
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| 17 - Generators.mp4 |
46.58Мб |
| 17 - Generators English.vtt |
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| 18 |
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| 18 - Numpy Package.mp4 |
207.95Мб |
| 18 - Numpy Package English.vtt |
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| 19 |
1.72Мб |
| 19 - Matplotlib Introduction.mp4 |
21.53Мб |
| 19 - Matplotlib Introduction English.vtt |
4.66Кб |
| 1 - Welcome.mp4 |
5.11Мб |
| 1 - Welcome English.vtt |
1.93Кб |
| 2 |
237б |
| 20 |
1.79Мб |
| 20 - Task English.vtt |
14.26Кб |
| 20 - Task Machine Learning Development Life Cycle.mp4 |
80.33Мб |
| 21 |
545.05Кб |
| 21 - Data English.vtt |
15.96Кб |
| 21 - Data Machine Learning Development Life Cycle.mp4 |
82.70Мб |
| 22 |
566.58Кб |
| 22 - Model English.vtt |
18.94Кб |
| 22 - Model Machine Learning Development Life Cycle.mp4 |
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| 23 |
1.81Мб |
| 23 - Error Sanctioning English.vtt |
28.43Кб |
| 23 - Error Sanctioning Machine Learning Development Life Cycle.mp4 |
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| 24 |
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| 24 - Linear Regression.mp4 |
240.96Мб |
| 24 - Linear Regression English.vtt |
44.05Кб |
| 25 |
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| 25 - Logistic Regression.mp4 |
229.45Мб |
| 25 - Logistic Regression English.vtt |
34.90Кб |
| 26 |
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| 26 - Linear Regression Practice.mp4 |
130.24Мб |
| 26 - Linear Regression Practice English.vtt |
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| 27 |
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| 27 - Logistic Regression Practice.mp4 |
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| 27 - Logistic Regression Practice English.vtt |
14.00Кб |
| 28 |
56.04Кб |
| 28 - Optimization.mp4 |
126.89Мб |
| 28 - Optimization English.vtt |
21.03Кб |
| 29 |
484.31Кб |
| 29 - Performance Measurement.mp4 |
210.23Мб |
| 29 - Performance Measurement English.vtt |
36.51Кб |
| 2 - General Introduction.mp4 |
53.96Мб |
| 2 - General Introduction English.vtt |
11.43Кб |
| 3 |
164б |
| 30 |
961.07Кб |
| 30 - Validation and Testing.mp4 |
42.58Мб |
| 30 - Validation and Testing English.vtt |
8.71Кб |
| 31 |
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| 31 - Softmax Regression Data.mp4 |
48.63Мб |
| 31 - Softmax Regression English.vtt |
5.42Кб |
| 32 |
1.90Мб |
| 32 - Softmax Regression English.vtt |
7.24Кб |
| 32 - Softmax Regression Modeling.mp4 |
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| 33 |
1.53Мб |
| 33 - Softmax Regression English.vtt |
9.60Кб |
| 33 - Softmax Regression Errror Sanctioning.mp4 |
47.12Мб |
| 34 |
1.97Мб |
| 34 - Softmax Regression English.vtt |
35.58Кб |
| 34 - Softmax Regression Training and Optimization.mp4 |
207.06Мб |
| 35 |
1.99Мб |
| 35 - Softmax Regression English.vtt |
9.49Кб |
| 35 - Softmax Regression Performance Measurement.mp4 |
62.61Мб |
| 36 |
1.69Мб |
| 36 - Neural Networks English.vtt |
28.56Кб |
| 36 - Neural Networks Modeling.mp4 |
186.31Мб |
| 37 |
273.29Кб |
| 37 - Neural Networks English.vtt |
2.02Кб |
| 37 - Neural Networks Error Sanctioning.mp4 |
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| 38 |
1.11Мб |
| 38 - Neural Networks English.vtt |
48.60Кб |
| 38 - Neural Networks Training and Optimization.mp4 |
366.15Мб |
| 39 |
933.22Кб |
| 39 - Neural Networks English.vtt |
35.54Кб |
| 39 - Neural Networks Training and Optimization Practicals.mp4 |
212.58Мб |
| 3 - Applications of Deep Learning.mp4 |
70.50Мб |
| 3 - Applications of Deep Learning English.vtt |
8.37Кб |
| 4 |
413.20Кб |
| 40 |
1.56Мб |
| 40 - Neural Networks English.vtt |
3.74Кб |
| 40 - Neural Networks Performance Measurement.mp4 |
22.23Мб |
| 41 |
508.13Кб |
| 41 - Neural Networks English.vtt |
9.06Кб |
| 41 - Neural Networks Validation and testing.mp4 |
58.98Мб |
| 42 |
680.73Кб |
| 42 - Solving Overfitting and Underfitting.mp4 |
164.35Мб |
| 42 - Solving Overfitting and Underfitting English.vtt |
24.94Кб |
| 43 |
1.65Мб |
| 43 - Shuffling.mp4 |
5.78Мб |
| 43 - Shuffling English.vtt |
1.20Кб |
| 44 |
1.63Мб |
| 44 - Ensembling.mp4 |
4.47Мб |
| 44 - Ensembling English.vtt |
726б |
| 45 |
1.04Мб |
| 45 - Weight Initialization.mp4 |
103.18Мб |
| 45 - Weight Initialization English.vtt |
16.65Кб |
| 46 |
491.18Кб |
| 46 - Data Imbalance.mp4 |
27.43Мб |
| 46 - Data Imbalance English.vtt |
5.03Кб |
| 47 |
1.94Мб |
| 47 - Learning rate decay.mp4 |
12.43Мб |
| 47 - Learning rate decay English.vtt |
2.52Кб |
| 48 |
8.65Кб |
| 48 - Normalization.mp4 |
100.83Мб |
| 48 - Normalization English.vtt |
17.13Кб |
| 49 |
995.87Кб |
| 49 - Hyperparameter tuning.mp4 |
14.46Мб |
| 49 - Hyperparameter tuning English.vtt |
3.20Кб |
| 4 - About this Course.mp4 |
70.85Мб |
| 4 - About this Course English.vtt |
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| 5 |
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| 50 |
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| 50 - In Class Exercise.mp4 |
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| 50 - In Class Exercise English.vtt |
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| 51 |
1.02Мб |
| 51 - TensorFlow Installation.mp4 |
94.96Мб |
| 51 - TensorFlow Installation English.vtt |
12.57Кб |
| 52 |
1.76Мб |
| 52 - Introduction to TensorFlow.mp4 |
107.73Мб |
| 52 - Introduction to TensorFlow English.vtt |
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| 53 |
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| 53 - TensorFlow Basics.mp4 |
120.10Мб |
| 53 - TensorFlow Basics English.vtt |
28.83Кб |
| 54 |
351.56Кб |
| 54 - Training a Neural Network with TensorFlow.mp4 |
231.47Мб |
| 54 - Training a Neural Network with TensorFlow English.vtt |
45.52Кб |
| 55 |
628.32Кб |
| 55 - Tiny Imagenet Dataset.mp4 |
85.36Мб |
| 55 - Tiny Imagenet Dataset English.vtt |
9.95Кб |
| 56 |
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| 56 - TinyImagenet Preparation.mp4 |
130.98Мб |
| 56 - TinyImagenet Preparation English.vtt |
22.52Кб |
| 57 |
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| 57 - Introduction to Convolutional Neural Networks.mp4 |
359.68Мб |
| 57 - Introduction to Convolutional Neural Networks English.vtt |
65.68Кб |
| 58 |
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| 58 - Error Sanctioning.mp4 |
26.21Мб |
| 58 - Error Sanctioning English.vtt |
6.65Кб |
| 59 |
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| 59 - Training Validation and Performance Measurement.mp4 |
20.88Мб |
| 59 - Training Validation and Performance Measurement English.vtt |
3.55Кб |
| 5 - Python Installation.mp4 |
18.14Мб |
| 5 - Python Installation English.vtt |
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| 6 |
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| 60 |
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| 60 - Reducing overfitting.mp4 |
62.77Мб |
| 60 - Reducing overfitting English.vtt |
8.38Кб |
| 61 |
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| 61 - VGGNet.mp4 |
168.44Мб |
| 61 - VGGNet English.vtt |
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| 62 |
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| 62 - InceptionNet.mp4 |
137.03Мб |
| 62 - InceptionNet English.vtt |
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| 63 |
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| 63 - ResNet.mp4 |
196.47Мб |
| 63 - ResNet English.vtt |
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| 64 |
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| 64 - MobileNet.mp4 |
198.10Мб |
| 64 - MobileNet English.vtt |
21.97Кб |
| 65 |
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| 65 - EfficientNet.mp4 |
393.68Мб |
| 65 - EfficientNet English.vtt |
37.89Кб |
| 66 |
1.77Мб |
| 66 - Transfer Learning and FineTuning.mp4 |
439.95Мб |
| 66 - Transfer Learning and FineTuning English.vtt |
60.28Кб |
| 67 |
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| 67 - Data Augmentation.mp4 |
71.28Мб |
| 67 - Data Augmentation English.vtt |
11.64Кб |
| 68 |
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| 68 - Callbacks.mp4 |
123.66Мб |
| 68 - Callbacks English.vtt |
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| 69 |
1.04Мб |
| 69 - Monitoring with TensorBoard.mp4 |
101.44Мб |
| 69 - Monitoring with TensorBoard English.vtt |
17.34Кб |
| 6 - Variables and Basic Operators.mp4 |
134.93Мб |
| 6 - Variables and Basic Operators English.vtt |
27.05Кб |
| 7 |
329.47Кб |
| 70 |
791.92Кб |
| 70 - ConvNet Project 1.mp4 |
10.43Мб |
| 70 - ConvNet Project 1 English.vtt |
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| 71 |
953.92Кб |
| 71 - ConvNet Project 2.mp4 |
30.02Мб |
| 71 - ConvNet Project 2 English.vtt |
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| 72 |
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| 72 - Sentiment Analysis Dataset.mp4 |
153.52Мб |
| 72 - Sentiment Analysis Dataset English.vtt |
26.17Кб |
| 73 |
434.24Кб |
| 73 - Imdb Dataset Code.mp4 |
287.50Мб |
| 73 - Imdb Dataset Code English.vtt |
38.31Кб |
| 74 |
1.32Мб |
| 74 - Recurrent Neural Networks.mp4 |
207.53Мб |
| 74 - Recurrent Neural Networks English.vtt |
35.96Кб |
| 75 |
1.56Мб |
| 75 - Training and Optimization Evaluation.mp4 |
86.19Мб |
| 75 - Training and Optimization Evaluation English.vtt |
15.00Кб |
| 76 |
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| 76 - Embeddings.mp4 |
98.23Мб |
| 76 - Embeddings English.vtt |
17.18Кб |
| 77 |
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| 77 - LSTM.mp4 |
145.99Мб |
| 77 - LSTM English.vtt |
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| 78 - GRU.mp4 |
30.36Мб |
| 78 - GRU English.vtt |
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| 79 |
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| 79 - 1D Convolutions.mp4 |
65.74Мб |
| 79 - 1D Convolutions English.vtt |
13.51Кб |
| 7 - Conditional Statements.mp4 |
89.58Мб |
| 7 - Conditional Statements English.vtt |
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| 8 |
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| 80 |
500.00Кб |
| 80 - Bidirectional RNNs.mp4 |
37.40Мб |
| 80 - Bidirectional RNNs English.vtt |
5.61Кб |
| 81 |
701.76Кб |
| 81 - Word2Vec.mp4 |
96.28Мб |
| 81 - Word2Vec English.vtt |
13.86Кб |
| 82 |
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| 82 - Word2Vec Practice.mp4 |
247.15Мб |
| 82 - Word2Vec Practice English.vtt |
32.88Кб |
| 83 |
1.55Мб |
| 83 - RNN Project.mp4 |
27.75Мб |
| 83 - RNN Project English.vtt |
3.76Кб |
| 84 |
663.59Кб |
| 84 - Breast Cancer Dataset.mp4 |
91.07Мб |
| 84 - Breast Cancer Dataset English.vtt |
13.34Кб |
| 85 |
732.98Кб |
| 85 - ResNet Model.mp4 |
13.32Мб |
| 85 - ResNet Model English.vtt |
2.40Кб |
| 86 |
1.15Мб |
| 86 - Training and Performance Measurement.mp4 |
150.06Мб |
| 86 - Training and Performance Measurement English.vtt |
24.28Кб |
| 87 |
1.50Мб |
| 87 - Corrective Measures.mp4 |
49.56Мб |
| 87 - Corrective Measures English.vtt |
8.99Кб |
| 88 |
262.03Кб |
| 88 - Plant Disease Project.mp4 |
38.99Мб |
| 88 - Plant Disease Project English.vtt |
5.59Кб |
| 89 |
75.92Кб |
| 89 - Object Detection.mp4 |
49.19Мб |
| 89 - Object Detection English.vtt |
6.99Кб |
| 8 - Loops.mp4 |
93.23Мб |
| 8 - Loops English.vtt |
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| 9 |
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| 90 |
1.23Мб |
| 90 - Pascal VOC Dataset.mp4 |
402.54Мб |
| 90 - Pascal VOC Dataset English.vtt |
57.31Кб |
| 91 |
1.39Мб |
| 91 - Modeling English.vtt |
47.42Кб |
| 91 - Modeling YOLO v1.mp4 |
479.17Мб |
| 92 |
1.57Мб |
| 92 - Error Sanctioning.mp4 |
185.73Мб |
| 92 - Error Sanctioning English.vtt |
31.54Кб |
| 93 |
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| 93 - Training and Optimization.mp4 |
111.82Мб |
| 93 - Training and Optimization English.vtt |
10.79Кб |
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| 94 - Testing.mp4 |
162.37Мб |
| 94 - Testing English.vtt |
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| 95 |
638.60Кб |
| 95 - Performance Measurement English.vtt |
44.47Кб |
| 95 - Performance Measurement Mean Average Precision mAP.mp4 |
266.96Мб |
| 96 |
689.70Кб |
| 96 - Data Augmentation.mp4 |
96.48Мб |
| 96 - Data Augmentation English.vtt |
15.04Кб |
| 97 |
437.45Кб |
| 97 - YOLO v3.mp4 |
614.10Мб |
| 97 - YOLO v3 English.vtt |
73.39Кб |
| 98 |
43.47Кб |
| 98 - Instance Segmentation Project.mp4 |
10.59Мб |
| 98 - Instance Segmentation Project English.vtt |
1.57Кб |
| 99 |
1.12Мб |
| 99 - Image Segmentation English.vtt |
7.90Кб |
| 99 - Image Segmentation Oxford IIIT Pet Dataset.mp4 |
57.38Мб |
| 9 - Methods.mp4 |
88.44Мб |
| 9 - Methods English.vtt |
20.65Кб |
| TutsNode.com.txt |
63б |