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Checked by:
Category:
Language:
English
Total Size:
18.1 GB
Info Hash:
0BF2710989AE882520D9DFCFCF8AE9BB8766E1B9
Added By:
Added:
July 1, 2023, 7:33 p.m.
Stats:
|
(Last updated: Oct. 9, 2026, 9:11 a.m.)
| File | Size |
|---|---|
| 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 |
Name
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10.2 MB
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2024-04-22
| Uploaded by FreeCourseWeb | Size 10.2 MB | Health [ 49 /25 ] | Added 2024-04-22 |
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3.9 GB
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2023-10-23
| Uploaded by freecoursewb | Size 3.9 GB | Health [ 48 /42 ] | Added 2023-10-23 |
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| Uploaded by FreeCourseWeb | Size 2.4 GB | Health [ 44 /31 ] | Added 2024-02-01 |
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266.9 MB
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2024-10-24
| Uploaded by FreeCourseWeb | Size 266.9 MB | Health [ 26 /0 ] | Added 2024-10-24 |
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29.9 MB
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2025-07-07
| Uploaded by freecoursewb | Size 29.9 MB | Health [ 17 /0 ] | Added 2025-07-07 |
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3.1 GB
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| Uploaded by FreeCourseWeb | Size 3.1 GB | Health [ 14 /25 ] | Added 2024-02-01 |
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911.6 MB
[13
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2023-10-25
| Uploaded by freecoursewb | Size 911.6 MB | Health [ 13 /35 ] | Added 2023-10-25 |
Name
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Size
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31.5 MB
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2023-10-26
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140.0 MB
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2026-06-03
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12.1 MB
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2025-03-19
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2.4 MB
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NOTE
SOURCE: Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
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COVER
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MEDIAINFO
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