Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
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| Torrent Hash : | 0BF2710989AE882520D9DFCFCF8AE9BB8766E1B9 |
| Torrent Added : | at July 1, 2023, 7:33 p.m. in Other |
| Torrent Size : | 18.1 GB |
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Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
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Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
97 - YOLO v3.mp4 -
TutsNode.com.txt -
1 - Welcome English.vtt -
104 - Semantic Segmentation Project.mp4 -
126 - LSH Attention English.vtt -
97 - YOLO v3 English.vtt -
57 - Introduction to Convolutional Neural Networks English.vtt -
66 - Transfer Learning and FineTuning English.vtt -
116 - Attention Mechanism English.vtt -
118 - Building Transformers with TensorFlow 2 English.vtt -
54 - Training a Neural Network with TensorFlow English.vtt -
147 - Image to Image Translation Project English.vtt -
0 -
91 - Modeling YOLO v1.mp4 -
90 - Pascal VOC Dataset English.vtt -
117 - Transformers Theory English.vtt -
38 - Neural Networks English.vtt -
18 - Numpy Package English.vtt -
91 - Modeling English.vtt -
95 - Performance Measurement English.vtt -
24 - Linear Regression English.vtt -
106 - Dataset Preparation English.vtt -
73 - Imdb Dataset Code English.vtt -
65 - EfficientNet English.vtt -
29 - Performance Measurement English.vtt -
128 - BERT Practice English.vtt -
74 - Recurrent Neural Networks English.vtt -
132 - Fourier Transform English.vtt -
14 - Encapsulation English.vtt -
146 - Wasserstein GAN English.vtt -
15 - Polymorphism English.vtt -
34 - Softmax Regression English.vtt -
39 - Neural Networks English.vtt -
25 - Logistic Regression English.vtt -
82 - Word2Vec Practice English.vtt -
114 - Performance Measurement English.vtt -
26 - Linear Regression Practice English.vtt -
1 -
126 - LSH Attention.mp4 -
92 - Error Sanctioning English.vtt -
112 - Sequence to Sequence Models English.vtt -
109 - Data Augmentation English.vtt -
53 - TensorFlow Basics English.vtt -
36 - Neural Networks English.vtt -
23 - Error Sanctioning English.vtt -
6 - Variables and Basic Operators English.vtt -
145 - GAN training and Optimization English.vtt -
133 - Short Time Fourier Transform English.vtt -
72 - Sentiment Analysis Dataset English.vtt -
42 - Solving Overfitting and Underfitting English.vtt -
135 - Speech Transformer English.vtt -
140 - Vision Transformers English.vtt -
86 - Training and Performance Measurement English.vtt -
94 - Testing English.vtt -
137 - Flickr 30k Dataset English.vtt -
56 - TinyImagenet Preparation English.vtt -
64 - MobileNet English.vtt -
122 - SQUAD dataset preparation English.vtt -
8 - Loops English.vtt -
121 - SQUAD dataset English.vtt -
134 - Conv English.vtt -
139 - Training and Optimization English.vtt -
28 - Optimization English.vtt -
9 - Methods English.vtt -
77 - LSTM English.vtt -
22 - Model English.vtt -
127 - BERT Model English.vtt -
62 - InceptionNet English.vtt -
16 - Decorators English.vtt -
111 - Fre English.vtt -
52 - Introduction to TensorFlow English.vtt -
69 - Monitoring with TensorBoard English.vtt -
100 - UNET model English.vtt -
76 - Embeddings English.vtt -
37 - Neural Networks English.vtt -
48 - Normalization English.vtt -
7 - Conditional Statements English.vtt -
45 - Weight Initialization English.vtt -
63 - ResNet English.vtt -
68 - Callbacks English.vtt -
21 - Data English.vtt -
61 - VGGNet English.vtt -
103 - Class weighting and reduced network English.vtt -
96 - Data Augmentation English.vtt -
75 - Training and Optimization Evaluation English.vtt -
10 - Objects and Classes English.vtt -
43 - Shuffling English.vtt -
20 - Task English.vtt -
44 - Ensembling English.vtt -
27 - Logistic Regression Practice English.vtt -
81 - Word2Vec English.vtt -
79 - 1D Convolutions English.vtt -
84 - Breast Cancer Dataset English.vtt -
51 - TensorFlow Installation English.vtt -
47 - Learning rate decay English.vtt -
105 - People Counting English.vtt -
115 - Testing Sequence to Sequence Models English.vtt -
143 - Image Generation English.vtt -
150 - Deployment English.vtt -
67 - Data Augmentation English.vtt -
2 - General Introduction English.vtt -
11 - Operator Overloading English.vtt -
93 - Training and Optimization English.vtt -
13 - Inheritance English.vtt -
144 - GAN Loss English.vtt -
123 - Context English.vtt -
55 - Tiny Imagenet Dataset English.vtt -
33 - Softmax Regression English.vtt -
35 - Softmax Regression English.vtt -
4 - About this Course English.vtt -
17 - Generators English.vtt -
41 - Neural Networks English.vtt -
87 - Corrective Measures English.vtt -
32 - Softmax Regression English.vtt -
2 -
66 - Transfer Learning and FineTuning.mp4 -
12 - Method Types English.vtt -
30 - Validation and Testing English.vtt -
60 - Reducing overfitting English.vtt -
3 - Applications of Deep Learning English.vtt -
131 - LJ English.vtt -
107 - CSRNET English.vtt -
129 - GPT Based Chatbot English.vtt -
3 -
116 - Attention Mechanism Bahdanau Attention.mp4 -
149 - Model Preparation English.vtt -
99 - Image Segmentation English.vtt -
142 - Introduction to Generative Modeling English.vtt -
89 - Object Detection English.vtt -
58 - Error Sanctioning English.vtt -
138 - CNN English.vtt -
108 - Training and Optimization English.vtt -
124 - Training and Optimization English.vtt -
80 - Bidirectional RNNs English.vtt -
88 - Plant Disease Project English.vtt -
31 - Softmax Regression English.vtt -
78 - GRU English.vtt -
101 - Training and Optimization English.vtt -
46 - Data Imbalance English.vtt -
148 - Introduction English.vtt -
70 - ConvNet Project 1 English.vtt -
19 - Matplotlib Introduction English.vtt -
102 - Data Augmentation and Dropout English.vtt -
71 - ConvNet Project 2 English.vtt -
50 - In Class Exercise English.vtt -
5 - Python Installation English.vtt -
83 - RNN Project English.vtt -
40 - Neural Networks English.vtt -
59 - Training Validation and Performance Measurement English.vtt -
113 - Training Sequence to Sequence Models English.vtt -
49 - Hyperparameter tuning English.vtt -
119 - Text Normalization project English.vtt -
130 - What is Automatic Speech Recognition English.vtt -
120 - Understanding Question Answering English.vtt -
85 - ResNet Model English.vtt -
125 - Data Augmentation English.vtt -
98 - Instance Segmentation Project English.vtt -
110 - Object Counting Project English.vtt -
141 - OCR Project English.vtt -
136 - Audio Classification project English.vtt -
[TGx]Downloaded from torrentgalaxy.to .txt -
104 - Semantic Segmentation Project English.vtt -
4 -
117 - Transformers Theory.mp4 -
5 -
90 - Pascal VOC Dataset.mp4 -
6 -
65 - EfficientNet.mp4 -
7 -
38 - Neural Networks Training and Optimization.mp4 -
8 -
57 - Introduction to Convolutional Neural Networks.mp4 -
9 -
118 - Building Transformers with TensorFlow 2.mp4 -
10 -
106 - Dataset Preparation.mp4 -
11 -
128 - BERT Practice.mp4 -
12 -
73 - Imdb Dataset Code.mp4 -
13 -
146 - Wasserstein GAN.mp4 -
14 -
95 - Performance Measurement Mean Average Precision mAP.mp4 -
15 -
82 - Word2Vec Practice.mp4 -
16 -
109 - Data Augmentation.mp4 -
17 -
24 - Linear Regression.mp4 -
18 -
140 - Vision Transformers.mp4 -
19 -
135 - Speech Transformer.mp4 -
20 -
54 - Training a Neural Network with TensorFlow.mp4 -
21 -
25 - Logistic Regression.mp4 -
22 -
132 - Fourier Transform.mp4 -
23 -
121 - SQUAD dataset.mp4 -
24 -
127 - BERT Model.mp4 -
25 -
39 - Neural Networks Training and Optimization Practicals.mp4 -
26 -
29 - Performance Measurement.mp4 -
27 -
18 - Numpy Package.mp4 -
28 -
74 - Recurrent Neural Networks.mp4 -
29 -
34 - Softmax Regression Training and Optimization.mp4 -
30 -
112 - Sequence to Sequence Models.mp4 -
31 -
64 - MobileNet.mp4 -
32 -
63 - ResNet.mp4 -
33 -
145 - GAN training and Optimization.mp4 -
34 -
137 - Flickr 30k Dataset.mp4 -
35 -
36 - Neural Networks Modeling.mp4 -
36 -
92 - Error Sanctioning.mp4 -
37 -
23 - Error Sanctioning Machine Learning Development Life Cycle.mp4 -
38 -
139 - Training and Optimization.mp4 -
39 -
61 - VGGNet.mp4 -
40 -
114 - Performance Measurement BLEU Score.mp4 -
41 -
122 - SQUAD dataset preparation.mp4 -
42 -
42 - Solving Overfitting and Underfitting.mp4 -
43 -
94 - Testing.mp4 -
44 -
133 - Short Time Fourier Transform.mp4 -
45 -
72 - Sentiment Analysis Dataset.mp4 -
46 -
86 - Training and Performance Measurement.mp4 -
47 -
77 - LSTM.mp4 -
48 -
62 - InceptionNet.mp4 -
49 -
6 - Variables and Basic Operators.mp4 -
50 -
56 - TinyImagenet Preparation.mp4 -
51 -
26 - Linear Regression Practice.mp4 -
52 -
28 - Optimization.mp4 -
53 -
68 - Callbacks.mp4 -
54 -
103 - Class weighting and reduced network.mp4 -
55 -
111 - FreEng Dataset and Task.mp4 -
56 -
53 - TensorFlow Basics.mp4 -
57 -
134 - Conv CTC Model.mp4 -
58 -
100 - UNET model.mp4 -
59 -
93 - Training and Optimization.mp4 -
60 -
52 - Introduction to TensorFlow.mp4 -
61 -
45 - Weight Initialization.mp4 -
62 -
69 - Monitoring with TensorBoard.mp4 -
63 -
48 - Normalization.mp4 -
64 -
22 - Model Machine Learning Development Life Cycle.mp4 -
65 -
76 - Embeddings.mp4 -
66 -
96 - Data Augmentation.mp4 -
67 -
81 - Word2Vec.mp4 -
68 -
51 - TensorFlow Installation.mp4 -
69 -
8 - Loops.mp4 -
70 -
84 - Breast Cancer Dataset.mp4 -
71 -
16 - Decorators.mp4 -
72 -
7 - Conditional Statements.mp4 -
73 -
143 - Image Generation.mp4 -
74 -
9 - Methods.mp4 -
75 -
75 - Training and Optimization Evaluation.mp4 -
76 -
55 - Tiny Imagenet Dataset.mp4 -
77 -
21 - Data Machine Learning Development Life Cycle.mp4 -
78 -
20 - Task Machine Learning Development Life Cycle.mp4 -
79 -
105 - People Counting Shangai Tech Dataset.mp4 -
80 -
142 - Introduction to Generative Modeling.mp4 -
81 -
115 - Testing Sequence to Sequence Models.mp4 -
82 -
27 - Logistic Regression Practice.mp4 -
83 -
107 - CSRNET.mp4 -
84 -
67 - Data Augmentation.mp4 -
85 -
4 - About this Course.mp4 -
86 -
3 - Applications of Deep Learning.mp4 -
87 -
79 - 1D Convolutions.mp4 -
88 -
149 - Model Preparation.mp4 -
89 -
60 - Reducing overfitting.mp4 -
90 -
35 - Softmax Regression Performance Measurement.mp4 -
91 -
123 - Context Answer Network.mp4 -
92 -
10 - Objects and Classes.mp4 -
93 -
41 - Neural Networks Validation and testing.mp4 -
94 -
99 - Image Segmentation Oxford IIIT Pet Dataset.mp4 -
95 -
13 - Inheritance.mp4 -
96 -
144 - GAN Loss.mp4 -
97 -
2 - General Introduction.mp4 -
98 -
11 - Operator Overloading.mp4 -
99 -
150 - Deployment.mp4 -
100 -
87 - Corrective Measures.mp4 -
101 -
89 - Object Detection.mp4 -
102 -
108 - Training and Optimization.mp4 -
103 -
31 - Softmax Regression Data.mp4 -
104 -
12 - Method Types.mp4 -
105 -
33 - Softmax Regression Errror Sanctioning.mp4 -
106 -
17 - Generators.mp4 -
107 -
131 - LJ Speech Dataset.mp4 -
108 -
138 - CNN Transformer Model.mp4 -
109 -
30 - Validation and Testing.mp4 -
110 -
101 - Training and Optimization.mp4 -
111 -
88 - Plant Disease Project.mp4 -
112 -
80 - Bidirectional RNNs.mp4 -
113 -
32 - Softmax Regression Modeling.mp4 -
114 -
124 - Training and Optimization.mp4 -
115 -
78 - GRU.mp4 -
116 -
71 - ConvNet Project 2.mp4 -
117 -
83 - RNN Project.mp4 -
118 -
50 - In Class Exercise.mp4 -
119 -
46 - Data Imbalance.mp4 -
120 -
102 - Data Augmentation and Dropout.mp4 -
121 -
58 - Error Sanctioning.mp4 -
122 -
148 - Introduction.mp4 -
123 -
119 - Text Normalization project.mp4 -
124 -
40 - Neural Networks Performance Measurement.mp4 -
125 -
19 - Matplotlib Introduction.mp4 -
126 -
59 - Training Validation and Performance Measurement.mp4 -
127 -
5 - Python Installation.mp4 -
128 -
113 - Training Sequence to Sequence Models.mp4 -
129 -
125 - Data Augmentation.mp4 -
130 -
49 - Hyperparameter tuning.mp4 -
131 -
15 - Polymorphism.mp4 -
132 -
85 - ResNet Model.mp4 -
133 -
120 - Understanding Question Answering.mp4 -
134 -
47 - Learning rate decay.mp4 -
135 -
130 - What is Automatic Speech Recognition.mp4 -
136 -
14 - Encapsulation.mp4 -
137 -
129 - GPT Based Chatbot.mp4 -
138 -
98 - Instance Segmentation Project.mp4 -
139 -
70 - ConvNet Project 1.mp4 -
140 -
37 - Neural Networks Error Sanctioning.mp4 -
141 -
43 - Shuffling.mp4 -
142 -
147 - Image to Image Translation Project.mp4 -
143 -
1 - Welcome.mp4 -
144 -
44 - Ensembling.mp4 -
145 -
136 - Audio Classification project.mp4 -
146 -
141 - OCR Project.mp4 -
147 -
110 - Object Counting Project.mp4 -
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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
93 -
897.1 KB
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
95 -
638.6 KB
13 - Inheritance.mp4 -
57.3 MB
96 -
689.7 KB
144 - GAN Loss.mp4 -
55.6 MB
97 -
437.4 KB
2 - General Introduction.mp4 -
54.0 MB
98 -
43.5 KB
11 - Operator Overloading.mp4 -
52.9 MB
99 -
1.1 MB
150 - Deployment.mp4 -
52.8 MB
100 -
1.2 MB
87 - Corrective Measures.mp4 -
49.6 MB
101 -
451.8 KB
89 - Object Detection.mp4 -
49.2 MB
102 -
833.0 KB
108 - Training and Optimization.mp4 -
49.2 MB
103 -
864.9 KB
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
106 -
905.9 KB
17 - Generators.mp4 -
46.6 MB
107 -
1.4 MB
131 - LJ Speech Dataset.mp4 -
45.9 MB
108 -
101.4 KB
138 - CNN Transformer Model.mp4 -
43.4 MB
109 -
634.5 KB
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
118 -
252.3 KB
50 - In Class Exercise.mp4 -
27.6 MB
119 -
411.4 KB
46 - Data Imbalance.mp4 -
27.4 MB
120 -
584.9 KB
102 - Data Augmentation and Dropout.mp4 -
27.2 MB
121 -
780.2 KB
58 - Error Sanctioning.mp4 -
26.2 MB
122 -
1.8 MB
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
132 -
615.4 KB
85 - ResNet Model.mp4 -
13.3 MB
133 -
695.8 KB
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
137 -
430.4 KB
129 - GPT Based Chatbot.mp4 -
11.1 MB
138 -
916.5 KB
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
143 -
320.4 KB
1 - Welcome.mp4 -
5.1 MB
144 -
908.5 KB
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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