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| 001 Cycle GAN_en.vtt |
2.19Кб |
| 001 Cycle GAN.mp4 |
32.66Мб |
| 001 Image-To-Image Translation_en.vtt |
3.60Кб |
| 001 Image-To-Image Translation.mp4 |
62.14Мб |
| 001 Introduction_en.vtt |
6.37Кб |
| 001 Introduction.mp4 |
84.34Мб |
| 001 Machine Learning_en.vtt |
6.42Кб |
| 001 Machine Learning.mp4 |
84.49Мб |
| 001 MNIST using GAN_en.vtt |
1.50Кб |
| 001 MNIST using GAN.mp4 |
14.21Мб |
| 001 Neural Networks_en.vtt |
6.39Кб |
| 001 Neural Networks.mp4 |
85.63Мб |
| 001 What is a GAN_en.vtt |
2.29Кб |
| 001 What is a GAN.mp4 |
28.68Мб |
| 001 What is Deep Learning_en.vtt |
2.36Кб |
| 001 What is Deep Learning.mp4 |
40.40Мб |
| 002 Applications of Artificial Neural Networks_en.vtt |
1.99Кб |
| 002 Applications of Artificial Neural Networks.mp4 |
32.43Мб |
| 002 Build and Test the Generator_en.vtt |
2.21Кб |
| 002 Build and Test the Generator.mp4 |
36.40Мб |
| 002 Deep Learning Applications_en.vtt |
2.34Кб |
| 002 Deep Learning Applications.mp4 |
42.87Мб |
| 002 GAN Applications_en.vtt |
854б |
| 002 GAN Applications.mp4 |
11.65Мб |
| 002 Initial Setup_en.vtt |
6.66Кб |
| 002 Initial Setup.mp4 |
91.70Мб |
| 002 Supervised Learning_en.vtt |
3.65Кб |
| 002 Supervised Learning.mp4 |
40.96Мб |
| 003 Build the Discriminator_en.vtt |
1.56Кб |
| 003 Build the Discriminator.mp4 |
22.12Мб |
| 003 Deep Learning Algorithms and Architectures_en.vtt |
1007б |
| 003 Deep Learning Algorithms and Architectures.mp4 |
12.05Мб |
| 003 MMNIST Handwritten Digit Dataset_en.vtt |
1.03Кб |
| 003 MMNIST Handwritten Digit Dataset.mp4 |
12.34Мб |
| 003 Single-Layer Neural Networks (Perceptron)_en.vtt |
1.34Кб |
| 003 Single-Layer Neural Networks (Perceptron).mp4 |
19.22Мб |
| 003 Type of GANs_en.vtt |
754б |
| 003 Type of GANs.mp4 |
14.77Мб |
| 003 Unsupervised Learning_en.vtt |
3.23Кб |
| 003 Unsupervised Learning.mp4 |
34.29Мб |
| 004 Convolutional Neural Networks (CNNs)_en.vtt |
4.42Кб |
| 004 Convolutional Neural Networks (CNNs).mp4 |
48.89Мб |
| 004 DCGANs_en.vtt |
2.75Кб |
| 004 DCGANs.mp4 |
30.25Мб |
| 004 Load and Prepare the Dataset_en.vtt |
5.41Кб |
| 004 Load and Prepare the Dataset.mp4 |
64.11Мб |
| 004 Multi-Layer Neural Networks_en.vtt |
2.57Кб |
| 004 Multi-Layer Neural Networks.mp4 |
39.26Мб |
| 004 Semi-Supervised Learning_en.vtt |
2.69Кб |
| 004 Semi-Supervised Learning.mp4 |
23.02Мб |
| 004 Training and Generate Image_en.vtt |
2.12Кб |
| 004 Training and Generate Image.mp4 |
52.19Мб |
| 005 Activation Functions_en.vtt |
1.86Кб |
| 005 Activation Functions.mp4 |
22.53Мб |
| 005 Create the Models_en.vtt |
6.01Кб |
| 005 Create the Models.mp4 |
77.67Мб |
| 005 Learning Methods Comparison_en.vtt |
1.98Кб |
| 005 Learning Methods Comparison.mp4 |
29.86Мб |
| 005 Recurrent Neural Networks(RNNs)_en.vtt |
5.10Кб |
| 005 Recurrent Neural Networks(RNNs).mp4 |
57.53Мб |
| 005 SGAN_en.vtt |
1.31Кб |
| 005 SGAN.mp4 |
14.73Мб |
| 006 Conditional GAN_en.vtt |
1.95Кб |
| 006 Conditional GAN.mp4 |
19.21Мб |
| 006 Define and Train the Model_en.vtt |
1.34Кб |
| 006 Define and Train the Model.mp4 |
14.86Мб |
| 006 Long Short-Term Memory (LSTM)_en.vtt |
3.60Кб |
| 006 Long Short-Term Memory (LSTM).mp4 |
28.50Мб |
| 006 Neural Network Example with Number_en.vtt |
1.45Кб |
| 006 Neural Network Example with Number.mp4 |
23.51Мб |
| 006 Reinforcement Learning_en.vtt |
3.03Кб |
| 006 Reinforcement Learning.mp4 |
39.73Мб |
| 007 Cycle GAN_en.vtt |
1.83Кб |
| 007 Cycle GAN.mp4 |
26.21Мб |
| 007 Learning Example_en.vtt |
2.26Кб |
| 007 Learning Example.mp4 |
31.86Мб |
| 007 Residual Neural Network Learning (ResNets)_en.vtt |
2.20Кб |
| 007 Residual Neural Network Learning (ResNets).mp4 |
24.55Мб |
| 007 TensorFlow Practicing_en.vtt |
33.89Кб |
| 007 TensorFlow Practicing.mp4 |
293.37Мб |
| 008 Classifying Images with Deep Convolutional Neural Networks_en.vtt |
20.16Кб |
| 008 Classifying Images with Deep Convolutional Neural Networks.mp4 |
169.43Мб |
| 008 Design a Learning System_en.vtt |
3.83Кб |
| 008 Design a Learning System.mp4 |
49.98Мб |
| 008 Simple Gan_en.vtt |
10.85Кб |
| 008 Simple Gan.mp4 |
96.54Мб |
| 008 TensorFlow Practicing-MLP_en.vtt |
23.05Кб |
| 008 TensorFlow Practicing-MLP.mp4 |
188.83Мб |
| 009 DCGAN_en.vtt |
5.48Кб |
| 009 DCGAN.mp4 |
53.61Мб |
| 009 Leaning Error Types_en.vtt |
1.41Кб |
| 009 Leaning Error Types.mp4 |
20.10Мб |
| 009 Modeling Sequential Data Using Recurrent Neural Networks_en.vtt |
14.26Кб |
| 009 Modeling Sequential Data Using Recurrent Neural Networks.mp4 |
105.43Мб |
| 010 Underfitting and Overfitting_en.vtt |
1.12Кб |
| 010 Underfitting and Overfitting.mp4 |
13.56Мб |
| 011 Clustering-kmeans_en.vtt |
7.68Кб |
| 011 Clustering-kmeans.mp4 |
52.71Мб |
| 012 Data Preprocessing_en.vtt |
23.31Кб |
| 012 Data Preprocessing.mp4 |
127.68Мб |
| 013 Coding Example using Scikit-Learn_en.vtt |
11.59Кб |
| 013 Coding Example using Scikit-Learn.mp4 |
91.44Мб |
| 36659484-Introduction.pdf |
2.55Мб |
| 36660332-Lecture-2.pdf |
1.04Мб |
| 38190436-clustering.ipynb |
42.88Кб |
| 39379018-lect-21.ipynb |
31.45Кб |
| 39380246-TensorFlow-MLP.ipynb |
206.76Кб |
| 39503732-image-classifying-using-DNN-p1.ipynb |
33.24Кб |
| 39534670-RNN-p1.ipynb |
28.30Кб |
| 39534952-First-GAN.ipynb |
1.21Мб |
| 39535112-DCGAN.ipynb |
79.27Кб |
| Bonus Resources.txt |
386б |
| external-assets-links.txt |
1.11Кб |
| external-assets-links.txt |
547б |
| external-assets-links.txt |
983б |
| external-assets-links.txt |
229б |
| external-assets-links.txt |
44б |
| Get Bonus Downloads Here.url |
182б |
| movie_data.csv |
62.81Мб |