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Deep Learning Masterclass with TensorFlow 2 Over 15 Projects

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Files:

97 - YOLO v3.mp4 614.1 MB
TutsNode.com.txt 63 bytes
1 - Welcome English.vtt 1.9 KB
104 - Semantic Segmentation Project.mp4 1.5 MB
126 - LSH Attention English.vtt 77.3 KB
97 - YOLO v3 English.vtt 73.4 KB
57 - Introduction to Convolutional Neural Networks English.vtt 65.7 KB
66 - Transfer Learning and FineTuning English.vtt 60.3 KB
116 - Attention Mechanism English.vtt 60.2 KB
118 - Building Transformers with TensorFlow 2 English.vtt 58.7 KB
54 - Training a Neural Network with TensorFlow English.vtt 45.5 KB
147 - Image to Image Translation Project English.vtt 895 bytes
0 119 bytes
91 - Modeling YOLO v1.mp4 479.2 MB
90 - Pascal VOC Dataset English.vtt 57.3 KB
117 - Transformers Theory English.vtt 53.5 KB
38 - Neural Networks English.vtt 48.6 KB
18 - Numpy Package English.vtt 48.4 KB
91 - Modeling English.vtt 47.4 KB
95 - Performance Measurement English.vtt 44.5 KB
24 - Linear Regression English.vtt 44.0 KB
106 - Dataset Preparation English.vtt 43.3 KB
73 - Imdb Dataset Code English.vtt 38.3 KB
65 - EfficientNet English.vtt 37.9 KB
29 - Performance Measurement English.vtt 36.5 KB
128 - BERT Practice English.vtt 36.3 KB
74 - Recurrent Neural Networks English.vtt 36.0 KB
132 - Fourier Transform English.vtt 35.8 KB
14 - Encapsulation English.vtt 2.0 KB
146 - Wasserstein GAN English.vtt 35.8 KB
15 - Polymorphism English.vtt 2.4 KB
34 - Softmax Regression English.vtt 35.6 KB
39 - Neural Networks English.vtt 35.5 KB
25 - Logistic Regression English.vtt 34.9 KB
82 - Word2Vec Practice English.vtt 32.9 KB
114 - Performance Measurement English.vtt 32.5 KB
26 - Linear Regression Practice English.vtt 25.6 KB
1 216 bytes
126 - LSH Attention.mp4 478.8 MB
92 - Error Sanctioning English.vtt 31.5 KB
112 - Sequence to Sequence Models English.vtt 29.6 KB
109 - Data Augmentation English.vtt 29.4 KB
53 - TensorFlow Basics English.vtt 28.8 KB
36 - Neural Networks English.vtt 28.6 KB
23 - Error Sanctioning English.vtt 28.4 KB
6 - Variables and Basic Operators English.vtt 27.0 KB
145 - GAN training and Optimization English.vtt 26.3 KB
133 - Short Time Fourier Transform English.vtt 26.3 KB
72 - Sentiment Analysis Dataset English.vtt 26.2 KB
42 - Solving Overfitting and Underfitting English.vtt 24.9 KB
135 - Speech Transformer English.vtt 24.8 KB
140 - Vision Transformers English.vtt 24.6 KB
86 - Training and Performance Measurement English.vtt 24.3 KB
94 - Testing English.vtt 23.0 KB
137 - Flickr 30k Dataset English.vtt 23.0 KB
56 - TinyImagenet Preparation English.vtt 22.5 KB
64 - MobileNet English.vtt 22.0 KB
122 - SQUAD dataset preparation English.vtt 21.7 KB
8 - Loops English.vtt 21.6 KB
121 - SQUAD dataset English.vtt 21.3 KB
134 - Conv English.vtt 21.2 KB
139 - Training and Optimization English.vtt 21.1 KB
28 - Optimization English.vtt 21.0 KB
9 - Methods English.vtt 20.6 KB
77 - LSTM English.vtt 20.4 KB
22 - Model English.vtt 18.9 KB
127 - BERT Model English.vtt 18.6 KB
62 - InceptionNet English.vtt 17.7 KB
16 - Decorators English.vtt 17.6 KB
111 - Fre English.vtt 17.5 KB
52 - Introduction to TensorFlow English.vtt 17.4 KB
69 - Monitoring with TensorBoard English.vtt 17.3 KB
100 - UNET model English.vtt 17.2 KB
76 - Embeddings English.vtt 17.2 KB
37 - Neural Networks English.vtt 2.0 KB
48 - Normalization English.vtt 17.1 KB
7 - Conditional Statements English.vtt 17.0 KB
45 - Weight Initialization English.vtt 16.7 KB
63 - ResNet English.vtt 16.5 KB
68 - Callbacks English.vtt 16.3 KB
21 - Data English.vtt 16.0 KB
61 - VGGNet English.vtt 15.9 KB
103 - Class weighting and reduced network English.vtt 15.6 KB
96 - Data Augmentation English.vtt 15.0 KB
75 - Training and Optimization Evaluation English.vtt 15.0 KB
10 - Objects and Classes English.vtt 14.3 KB
43 - Shuffling English.vtt 1.2 KB
20 - Task English.vtt 14.3 KB
44 - Ensembling English.vtt 726 bytes
27 - Logistic Regression Practice English.vtt 14.0 KB
81 - Word2Vec English.vtt 13.9 KB
79 - 1D Convolutions English.vtt 13.5 KB
84 - Breast Cancer Dataset English.vtt 13.3 KB
51 - TensorFlow Installation English.vtt 12.6 KB
47 - Learning rate decay English.vtt 2.5 KB
105 - People Counting English.vtt 12.3 KB
115 - Testing Sequence to Sequence Models English.vtt 12.1 KB
143 - Image Generation English.vtt 12.0 KB
150 - Deployment English.vtt 11.8 KB
67 - Data Augmentation English.vtt 11.6 KB
2 - General Introduction English.vtt 11.4 KB
11 - Operator Overloading English.vtt 11.4 KB
93 - Training and Optimization English.vtt 10.8 KB
13 - Inheritance English.vtt 10.5 KB
144 - GAN Loss English.vtt 10.1 KB
123 - Context English.vtt 10.1 KB
55 - Tiny Imagenet Dataset English.vtt 10.0 KB
33 - Softmax Regression English.vtt 9.6 KB
35 - Softmax Regression English.vtt 9.5 KB
4 - About this Course English.vtt 9.4 KB
17 - Generators English.vtt 9.1 KB
41 - Neural Networks English.vtt 9.1 KB
87 - Corrective Measures English.vtt 9.0 KB
32 - Softmax Regression English.vtt 7.2 KB
2 237 bytes
66 - Transfer Learning and FineTuning.mp4 439.9 MB
12 - Method Types English.vtt 8.9 KB
30 - Validation and Testing English.vtt 8.7 KB
60 - Reducing overfitting English.vtt 8.4 KB
3 - Applications of Deep Learning English.vtt 8.4 KB
131 - LJ English.vtt 8.3 KB
107 - CSRNET English.vtt 8.2 KB
129 - GPT Based Chatbot English.vtt 1.3 KB
3 164 bytes
116 - Attention Mechanism Bahdanau Attention.mp4 421.4 MB
149 - Model Preparation English.vtt 8.0 KB
99 - Image Segmentation English.vtt 7.9 KB
142 - Introduction to Generative Modeling English.vtt 7.6 KB
89 - Object Detection English.vtt 7.0 KB
58 - Error Sanctioning English.vtt 6.7 KB
138 - CNN English.vtt 6.6 KB
108 - Training and Optimization English.vtt 6.5 KB
124 - Training and Optimization English.vtt 5.8 KB
80 - Bidirectional RNNs English.vtt 5.6 KB
88 - Plant Disease Project English.vtt 5.6 KB
31 - Softmax Regression English.vtt 5.4 KB
78 - GRU English.vtt 5.3 KB
101 - Training and Optimization English.vtt 5.3 KB
46 - Data Imbalance English.vtt 5.0 KB
148 - Introduction English.vtt 5.0 KB
70 - ConvNet Project 1 English.vtt 2.6 KB
19 - Matplotlib Introduction English.vtt 4.7 KB
102 - Data Augmentation and Dropout English.vtt 4.6 KB
71 - ConvNet Project 2 English.vtt 4.5 KB
50 - In Class Exercise English.vtt 4.5 KB
5 - Python Installation English.vtt 4.1 KB
83 - RNN Project English.vtt 3.8 KB
40 - Neural Networks English.vtt 3.7 KB
59 - Training Validation and Performance Measurement English.vtt 3.5 KB
113 - Training Sequence to Sequence Models English.vtt 3.3 KB
49 - Hyperparameter tuning English.vtt 3.2 KB
119 - Text Normalization project English.vtt 3.2 KB
130 - What is Automatic Speech Recognition English.vtt 2.9 KB
120 - Understanding Question Answering English.vtt 2.6 KB
85 - ResNet Model English.vtt 2.4 KB
125 - Data Augmentation English.vtt 2.4 KB
98 - Instance Segmentation Project English.vtt 1.6 KB
110 - Object Counting Project English.vtt 1.1 KB
141 - OCR Project English.vtt 766 bytes
136 - Audio Classification project English.vtt 736 bytes
[TGx]Downloaded from torrentgalaxy.to .txt 585 bytes
104 - Semantic Segmentation Project English.vtt 511 bytes
4 413.2 KB
117 - Transformers Theory.mp4 415.5 MB
5 485.0 KB
90 - Pascal VOC Dataset.mp4 402.5 MB
6 1.5 MB
65 - EfficientNet.mp4 393.7 MB
7 329.5 KB
38 - Neural Networks Training and Optimization.mp4 366.1 MB
8 1.9 MB
57 - Introduction to Convolutional Neural Networks.mp4 359.7 MB
9 329.5 KB
118 - Building Transformers with TensorFlow 2.mp4 315.9 MB
10 132.5 KB
106 - Dataset Preparation.mp4 303.1 MB
11 890.0 KB
128 - BERT Practice.mp4 288.6 MB
12 1.4 MB
73 - Imdb Dataset Code.mp4 287.5 MB
13 516.3 KB
146 - Wasserstein GAN.mp4 277.5 MB
14 500.4 KB
95 - Performance Measurement Mean Average Precision mAP.mp4 267.0 MB
15 1.0 MB
82 - Word2Vec Practice.mp4 247.2 MB
16 868.7 KB
109 - Data Augmentation.mp4 245.5 MB
17 528.6 KB
24 - Linear Regression.mp4 241.0 MB
18 1.0 MB
140 - Vision Transformers.mp4 238.3 MB
19 1.7 MB
135 - Speech Transformer.mp4 234.2 MB
20 1.8 MB
54 - Training a Neural Network with TensorFlow.mp4 231.5 MB
21 545.1 KB
25 - Logistic Regression.mp4 229.4 MB
22 566.6 KB
132 - Fourier Transform.mp4 224.2 MB
23 1.8 MB
121 - SQUAD dataset.mp4 224.0 MB
24 2.0 MB
127 - BERT Model.mp4 220.3 MB
25 1.7 MB
39 - Neural Networks Training and Optimization Practicals.mp4 212.6 MB
26 1.4 MB
29 - Performance Measurement.mp4 210.2 MB
27 1.8 MB
18 - Numpy Package.mp4 207.9 MB
28 56.0 KB
74 - Recurrent Neural Networks.mp4 207.5 MB
29 484.3 KB
34 - Softmax Regression Training and Optimization.mp4 207.1 MB
30 961.1 KB
112 - Sequence to Sequence Models.mp4 198.2 MB
31 1.8 MB
64 - MobileNet.mp4 198.1 MB
32 1.9 MB
63 - ResNet.mp4 196.5 MB
33 1.5 MB
145 - GAN training and Optimization.mp4 190.0 MB
34 2.0 MB
137 - Flickr 30k Dataset.mp4 188.0 MB
35 2.0 MB
36 - Neural Networks Modeling.mp4 186.3 MB
36 1.7 MB
92 - Error Sanctioning.mp4 185.7 MB
37 273.3 KB
23 - Error Sanctioning Machine Learning Development Life Cycle.mp4 178.9 MB
38 1.1 MB
139 - Training and Optimization.mp4 177.1 MB
39 933.2 KB
61 - VGGNet.mp4 168.4 MB
40 1.6 MB
114 - Performance Measurement BLEU Score.mp4 167.5 MB
41 508.1 KB
122 - SQUAD dataset preparation.mp4 165.3 MB
42 680.7 KB
42 - Solving Overfitting and Underfitting.mp4 164.4 MB
43 1.6 MB
94 - Testing.mp4 162.4 MB
44 1.6 MB
133 - Short Time Fourier Transform.mp4 161.0 MB
45 1.0 MB
72 - Sentiment Analysis Dataset.mp4 153.5 MB
46 491.2 KB
86 - Training and Performance Measurement.mp4 150.1 MB
47 1.9 MB
77 - LSTM.mp4 146.0 MB
48 8.6 KB
62 - InceptionNet.mp4 137.0 MB
49 995.9 KB
6 - Variables and Basic Operators.mp4 134.9 MB
50 1.1 MB
56 - TinyImagenet Preparation.mp4 131.0 MB
51 1.0 MB
26 - Linear Regression Practice.mp4 130.2 MB
52 1.8 MB
28 - Optimization.mp4 126.9 MB
53 1.1 MB
68 - Callbacks.mp4 123.7 MB
54 351.6 KB
103 - Class weighting and reduced network.mp4 123.4 MB
55 628.3 KB
111 - FreEng Dataset and Task.mp4 123.0 MB
56 1018.2 KB
53 - TensorFlow Basics.mp4 120.1 MB
57 1.9 MB
134 - Conv CTC Model.mp4 115.3 MB
58 699.8 KB
100 - UNET model.mp4 113.2 MB
59 820.6 KB
93 - Training and Optimization.mp4 111.8 MB
60 179.3 KB
52 - Introduction to TensorFlow.mp4 107.7 MB
61 271.4 KB
45 - Weight Initialization.mp4 103.2 MB
62 843.0 KB
69 - Monitoring with TensorBoard.mp4 101.4 MB
63 575.9 KB
48 - Normalization.mp4 100.8 MB
64 1.2 MB
22 - Model Machine Learning Development Life Cycle.mp4 98.6 MB
65 1.4 MB
76 - Embeddings.mp4 98.2 MB
66 1.8 MB
96 - Data Augmentation.mp4 96.5 MB
67 1.5 MB
81 - Word2Vec.mp4 96.3 MB
68 1.7 MB
51 - TensorFlow Installation.mp4 95.0 MB
69 1.0 MB
8 - Loops.mp4 93.2 MB
70 791.9 KB
84 - Breast Cancer Dataset.mp4 91.1 MB
71 953.9 KB
16 - Decorators.mp4 90.7 MB
72 1.3 MB
7 - Conditional Statements.mp4 89.6 MB
73 434.2 KB
143 - Image Generation.mp4 88.7 MB
74 1.3 MB
9 - Methods.mp4 88.4 MB
75 1.6 MB
75 - Training and Optimization Evaluation.mp4 86.2 MB
76 1.8 MB
55 - Tiny Imagenet Dataset.mp4 85.4 MB
77 654.7 KB
21 - Data Machine Learning Development Life Cycle.mp4 82.7 MB
78 1.3 MB
20 - Task Machine Learning Development Life Cycle.mp4 80.3 MB
79 1.7 MB
105 - People Counting Shangai Tech Dataset.mp4 79.5 MB
80 500.0 KB
142 - Introduction to Generative Modeling.mp4 77.3 MB
81 701.8 KB
115 - Testing Sequence to Sequence Models.mp4 74.6 MB
82 1.4 MB
27 - Logistic Regression Practice.mp4 72.4 MB
83 1.6 MB
107 - CSRNET.mp4 71.4 MB
84 663.6 KB
67 - Data Augmentation.mp4 71.3 MB
85 733.0 KB
4 - About this Course.mp4 70.9 MB
86 1.1 MB
3 - Applications of Deep Learning.mp4 70.5 MB
87 1.5 MB
79 - 1D Convolutions.mp4 65.7 MB
88 262.0 KB
149 - Model Preparation.mp4 63.9 MB
89 75.9 KB
60 - Reducing overfitting.mp4 62.8 MB
90 1.2 MB
35 - Softmax Regression Performance Measurement.mp4 62.6 MB
91 1.4 MB
123 - Context Answer Network.mp4 62.4 MB
92 1.6 MB
10 - Objects and Classes.mp4 59.1 MB
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41 - Neural Networks Validation and testing.mp4 59.0 MB
94 1.0 MB
99 - Image Segmentation Oxford IIIT Pet Dataset.mp4 57.4 MB
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13 - Inheritance.mp4 57.3 MB
96 689.7 KB
144 - GAN Loss.mp4 55.6 MB
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2 - General Introduction.mp4 54.0 MB
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11 - Operator Overloading.mp4 52.9 MB
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150 - Deployment.mp4 52.8 MB
100 1.2 MB
87 - Corrective Measures.mp4 49.6 MB
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89 - Object Detection.mp4 49.2 MB
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108 - Training and Optimization.mp4 49.2 MB
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31 - Softmax Regression Data.mp4 48.6 MB
104 1.4 MB
12 - Method Types.mp4 48.3 MB
105 1.7 MB
33 - Softmax Regression Errror Sanctioning.mp4 47.1 MB
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17 - Generators.mp4 46.6 MB
107 1.4 MB
131 - LJ Speech Dataset.mp4 45.9 MB
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138 - CNN Transformer Model.mp4 43.4 MB
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30 - Validation and Testing.mp4 42.6 MB
110 1.4 MB
101 - Training and Optimization.mp4 41.9 MB
111 120.0 KB
88 - Plant Disease Project.mp4 39.0 MB
112 1.0 MB
80 - Bidirectional RNNs.mp4 37.4 MB
113 619.0 KB
32 - Softmax Regression Modeling.mp4 36.3 MB
114 1.7 MB
124 - Training and Optimization.mp4 36.0 MB
115 3.7 KB
78 - GRU.mp4 30.4 MB
116 1.6 MB
71 - ConvNet Project 2.mp4 30.0 MB
117 2.0 MB
83 - RNN Project.mp4 27.8 MB
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50 - In Class Exercise.mp4 27.6 MB
119 411.4 KB
46 - Data Imbalance.mp4 27.4 MB
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102 - Data Augmentation and Dropout.mp4 27.2 MB
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58 - Error Sanctioning.mp4 26.2 MB
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148 - Introduction.mp4 24.1 MB
123 1.9 MB
119 - Text Normalization project.mp4 23.8 MB
124 239.8 KB
40 - Neural Networks Performance Measurement.mp4 22.2 MB
125 1.8 MB
19 - Matplotlib Introduction.mp4 21.5 MB
126 479.5 KB
59 - Training Validation and Performance Measurement.mp4 20.9 MB
127 1.1 MB
5 - Python Installation.mp4 18.1 MB
128 1.9 MB
113 - Training Sequence to Sequence Models.mp4 14.9 MB
129 1.1 MB
125 - Data Augmentation.mp4 14.5 MB
130 1.5 MB
49 - Hyperparameter tuning.mp4 14.5 MB
131 1.5 MB
15 - Polymorphism.mp4 13.4 MB
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85 - ResNet Model.mp4 13.3 MB
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120 - Understanding Question Answering.mp4 12.9 MB
134 1.1 MB
47 - Learning rate decay.mp4 12.4 MB
135 1.6 MB
130 - What is Automatic Speech Recognition.mp4 12.4 MB
136 1.6 MB
14 - Encapsulation.mp4 11.6 MB
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129 - GPT Based Chatbot.mp4 11.1 MB
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98 - Instance Segmentation Project.mp4 10.6 MB
139 1.4 MB
70 - ConvNet Project 1.mp4 10.4 MB
140 1.6 MB
37 - Neural Networks Error Sanctioning.mp4 8.5 MB
141 1.5 MB
43 - Shuffling.mp4 5.8 MB
142 222.5 KB
147 - Image to Image Translation Project.mp4 5.7 MB
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1 - Welcome.mp4 5.1 MB
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44 - Ensembling.mp4 4.5 MB
145 1.5 MB
136 - Audio Classification project.mp4 4.4 MB
146 1.6 MB
141 - OCR Project.mp4 4.1 MB
147 1.9 MB
110 - Object Counting Project.mp4 2.8 MB

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