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| [Tutorialsplanet.NET].url |
128б |
| [Tutorialsplanet.NET].url |
128б |
| [Tutorialsplanet.NET].url |
128б |
| [Tutorialsplanet.NET].url |
128б |
| [Tutorialsplanet.NET].url |
128б |
| 1. Batch Normalization Introduction.mp4 |
3.50Мб |
| 1. Batch Normalization Introduction-en_US.srt |
2.41Кб |
| 1. Facial Expression Recognition Project Introduction.mp4 |
12.74Мб |
| 1. Facial Expression Recognition Project Introduction-en_US.srt |
6.41Кб |
| 1. How to Code by Yourself (part 1).mp4 |
93.60Мб |
| 1. How to Code by Yourself (part 1)-en_US.srt |
21.69Кб |
| 1. How to Succeed in this Course (Long Version).mp4 |
24.94Мб |
| 1. How to Succeed in this Course (Long Version)-en_US.srt |
14.16Кб |
| 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 |
7.92Мб |
| 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt |
4.57Кб |
| 1. Introduction and Outline.mp4 |
51.79Мб |
| 1. Introduction and Outline-en_US.srt |
12.03Кб |
| 1. Keras Discussion.mp4 |
15.25Мб |
| 1. Keras Discussion-en_US.srt |
8.83Кб |
| 1. Modern Regularization Techniques Section Introduction.mp4 |
7.98Мб |
| 1. Modern Regularization Techniques Section Introduction-en_US.srt |
2.87Кб |
| 1. PyTorch, CNTK, and MXNet.mp4 |
1.80Мб |
| 1. PyTorch, CNTK, and MXNet-en_US.srt |
1.04Кб |
| 1. PyTorch Basics.mp4 |
83.87Мб |
| 1. PyTorch Basics-en_US.srt |
14.23Кб |
| 1. Review (pt 1) Neuron Predictions.mp4 |
40.45Мб |
| 1. Review (pt 1) Neuron Predictions-en_US.srt |
17.11Кб |
| 1. Setting up a GPU Instance on Amazon Web Services.mp4 |
101.93Мб |
| 1. Setting up a GPU Instance on Amazon Web Services-en_US.srt |
4.34Кб |
| 1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 |
57.64Мб |
| 1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory)-en_US.srt |
20.46Кб |
| 1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 |
39.15Мб |
| 1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt |
5.71Кб |
| 1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 |
65.34Мб |
| 1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt |
7.01Кб |
| 1. Transition to the 2nd Half of the Course.mp4 |
13.03Мб |
| 1. Transition to the 2nd Half of the Course-en_US.srt |
6.41Кб |
| 1. Using Momentum to Speed Up Training.mp4 |
25.60Мб |
| 1. Using Momentum to Speed Up Training-en_US.srt |
7.54Кб |
| 1. Weight Initialization Section Introduction.mp4 |
1.70Мб |
| 1. Weight Initialization Section Introduction-en_US.srt |
1.16Кб |
| 1. What's the difference between neural networks and deep learning.mp4 |
27.21Мб |
| 1. What's the difference between neural networks and deep learning-en_US.srt |
9.84Кб |
| 1. What is the Appendix.mp4 |
8.92Мб |
| 1. What is the Appendix-en_US.srt |
3.66Кб |
| 1. Windows-Focused Environment Setup 2018.mp4 |
308.83Мб |
| 1. Windows-Focused Environment Setup 2018-en_US.srt |
19.02Кб |
| 2. BONUS Where to get discount coupons and FREE deep learning material.mp4 |
37.81Мб |
| 2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt |
7.54Кб |
| 2. Building a neural network in TensorFlow.mp4 |
43.44Мб |
| 2. Building a neural network in TensorFlow-en_US.srt |
5.72Кб |
| 2. Building a neural network in Theano.mp4 |
49.89Мб |
| 2. Building a neural network in Theano-en_US.srt |
3.71Кб |
| 2. Dropout Regularization.mp4 |
48.75Мб |
| 2. Dropout Regularization-en_US.srt |
14.12Кб |
| 2. Exponentially-Smoothed Averages.mp4 |
8.31Мб |
| 2. Exponentially-Smoothed Averages-en_US.srt |
5.30Кб |
| 2. External URLs.txt |
75б |
| 2. Facial Expression Recognition Problem Description.mp4 |
33.82Мб |
| 2. Facial Expression Recognition Problem Description-en_US.srt |
14.80Кб |
| 2. How to Code by Yourself (part 2).mp4 |
29.27Мб |
| 2. How to Code by Yourself (part 2)-en_US.srt |
12.76Кб |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
192.04Мб |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt |
13.65Кб |
| 2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 |
236.27Мб |
| 2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer-en_US.srt |
31.06Кб |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
60.19Мб |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced-en_US.srt |
30.70Кб |
| 2. Keras in Code.mp4 |
49.19Мб |
| 2. Keras in Code-en_US.srt |
7.16Кб |
| 2. Manually Choosing Learning Rate and Regularization Penalty.mp4 |
10.34Мб |
| 2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt |
5.32Кб |
| 2. Nesterov Momentum.mp4 |
12.85Мб |
| 2. Nesterov Momentum-en_US.srt |
7.16Кб |
| 2. PyTorch Dropout.mp4 |
35.79Мб |
| 2. PyTorch Dropout-en_US.srt |
3.05Кб |
| 2. Review (pt 2) Neuron Learning.mp4 |
22.19Мб |
| 2. Review (pt 2) Neuron Learning-en_US.srt |
11.74Кб |
| 2. Sampling Logarithmically.mp4 |
5.20Мб |
| 2. Sampling Logarithmically-en_US.srt |
3.85Кб |
| 2. SGD Exercise Prompt.mp4 |
9.69Мб |
| 2. SGD Exercise Prompt-en_US.srt |
4.27Кб |
| 2. Vanishing and Exploding Gradients.mp4 |
13.46Мб |
| 2. Vanishing and Exploding Gradients-en_US.srt |
7.84Кб |
| 2. Where to get the Code.mp4 |
16.59Мб |
| 2. Where to get the Code-en_US.srt |
7.10Кб |
| 3. Batch Normalization Theory.mp4 |
53.83Мб |
| 3. Batch Normalization Theory-en_US.srt |
13.46Кб |
| 3. Can Big Data be used to Speed Up Backpropagation.mp4 |
9.42Мб |
| 3. Can Big Data be used to Speed Up Backpropagation-en_US.srt |
4.10Кб |
| 3. Dropout Intuition.mp4 |
9.05Мб |
| 3. Dropout Intuition-en_US.srt |
4.37Кб |
| 3. Grid Search in Code.mp4 |
68.46Мб |
| 3. Grid Search in Code-en_US.srt |
8.85Кб |
| 3. How to Succeed in this Course.mp4 |
46.54Мб |
| 3. How to Succeed in this Course-en_US.srt |
7.94Кб |
| 3. Is Theano Dead.mp4 |
23.07Мб |
| 3. Is Theano Dead-en_US.srt |
12.70Кб |
| 3. Keras Functional API.mp4 |
29.13Мб |
| 3. Keras Functional API-en_US.srt |
5.03Кб |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 |
134.90Мб |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt |
16.02Кб |
| 3. Momentum in Code.mp4 |
38.15Мб |
| 3. Momentum in Code-en_US.srt |
6.13Кб |
| 3. Proof that using Jupyter Notebook is the same as not using it.mp4 |
108.46Мб |
| 3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt |
13.50Кб |
| 3. PyTorch Batch Norm.mp4 |
36.79Мб |
| 3. PyTorch Batch Norm-en_US.srt |
2.90Кб |
| 3. Review (pt 3) Artificial Neural Networks.mp4 |
34.07Мб |
| 3. Review (pt 3) Artificial Neural Networks-en_US.srt |
14.47Кб |
| 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4 |
51.97Мб |
| 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1)-en_US.srt |
13.35Кб |
| 3. The class imbalance problem.mp4 |
15.71Мб |
| 3. The class imbalance problem-en_US.srt |
7.36Кб |
| 3. Weight Initialization.mp4 |
15.04Мб |
| 3. Weight Initialization-en_US.srt |
10.14Кб |
| 3. What is a Session (And more).mp4 |
31.11Мб |
| 3. What is a Session (And more)-en_US.srt |
17.83Кб |
| 4. Batch Normalization Tensorflow (part 1).mp4 |
11.35Мб |
| 4. Batch Normalization Tensorflow (part 1)-en_US.srt |
6.41Кб |
| 4. Exercises and Concepts Still to be Covered.mp4 |
8.75Мб |
| 4. Exercises and Concepts Still to be Covered-en_US.srt |
2.71Кб |
| 4. How to easily convert Keras into Tensorflow 2.0 code.mp4 |
6.23Мб |
| 4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt |
1.90Кб |
| 4. How to Uncompress a .tar.gz file.mp4 |
6.43Мб |
| 4. How to Uncompress a .tar.gz file-en_US.srt |
3.81Кб |
| 4. Local vs. Global Minima.mp4 |
8.33Мб |
| 4. Local vs. Global Minima-en_US.srt |
3.40Кб |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 |
136.40Мб |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt |
22.68Кб |
| 4. Modifying Grid Search.mp4 |
2.40Мб |
| 4. Modifying Grid Search-en_US.srt |
1.81Кб |
| 4. Noise Injection.mp4 |
14.61Мб |
| 4. Noise Injection-en_US.srt |
6.75Кб |
| 4. Review Exercise Prompt.mp4 |
32.22Мб |
| 4. Review Exercise Prompt-en_US.srt |
7.29Кб |
| 4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 |
110.55Мб |
| 4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2)-en_US.srt |
14.27Кб |
| 4. Utilities walkthrough.mp4 |
26.10Мб |
| 4. Utilities walkthrough-en_US.srt |
5.39Кб |
| 4. Variable and adaptive learning rates.mp4 |
23.49Мб |
| 4. Variable and adaptive learning rates-en_US.srt |
14.60Кб |
| 5. Batch Normalization Tensorflow (part 2).mp4 |
66.50Мб |
| 5. Batch Normalization Tensorflow (part 2)-en_US.srt |
6.31Кб |
| 5. Class-Based ANN in Theano.mp4 |
96.19Мб |
| 5. Class-Based ANN in Theano-en_US.srt |
14.85Кб |
| 5. Constant learning rate vs. RMSProp in Code.mp4 |
24.22Мб |
| 5. Constant learning rate vs. RMSProp in Code-en_US.srt |
3.90Кб |
| 5. How to Improve your Theano and Tensorflow Skills.mp4 |
31.94Мб |
| 5. How to Improve your Theano and Tensorflow Skills-en_US.srt |
5.86Кб |
| 5. Modern Regularization Techniques Section Summary.mp4 |
5.29Мб |
| 5. Modern Regularization Techniques Section Summary-en_US.srt |
2.55Кб |
| 5. Python 2 vs Python 3.mp4 |
10.40Мб |
| 5. Python 2 vs Python 3-en_US.srt |
5.84Кб |
| 5. Random Search in Code.mp4 |
39.04Мб |
| 5. Random Search in Code-en_US.srt |
4.51Кб |
| 5. Review Code (pt 1).mp4 |
25.90Мб |
| 5. Review Code (pt 1)-en_US.srt |
6.87Кб |
| 5. Weight Initialization Section Summary.mp4 |
3.45Мб |
| 5. Weight Initialization Section Summary-en_US.srt |
2.03Кб |
| 6. Adam Optimization (pt 1).mp4 |
55.16Мб |
| 6. Adam Optimization (pt 1)-en_US.srt |
16.05Кб |
| 6. Batch Normalization Theano (part 1).mp4 |
10.14Мб |
| 6. Batch Normalization Theano (part 1)-en_US.srt |
5.21Кб |
| 6. Class-Based ANN in TensorFlow.mp4 |
97.05Мб |
| 6. Class-Based ANN in TensorFlow-en_US.srt |
11.98Кб |
| 6. Review Code (pt 2).mp4 |
126.83Мб |
| 6. Review Code (pt 2)-en_US.srt |
14.92Кб |
| 6. Theano vs. TensorFlow.mp4 |
16.39Мб |
| 6. Theano vs. TensorFlow-en_US.srt |
8.20Кб |
| 7. Adam Optimization (pt 2).mp4 |
52.76Мб |
| 7. Adam Optimization (pt 2)-en_US.srt |
13.94Кб |
| 7. Batch Normalization Theano (part 2).mp4 |
76.28Мб |
| 7. Batch Normalization Theano (part 2)-en_US.srt |
7.69Кб |
| 7. Facial Expression Recognition Project Summary.mp4 |
3.76Мб |
| 7. Facial Expression Recognition Project Summary-en_US.srt |
1.69Кб |
| 7. Review Summary.mp4 |
4.34Мб |
| 7. Review Summary-en_US.srt |
1.30Кб |
| 8. Adam in Code.mp4 |
30.48Мб |
| 8. Adam in Code-en_US.srt |
6.41Кб |
| 8. Noise Perspective.mp4 |
3.26Мб |
| 8. Noise Perspective-en_US.srt |
2.34Кб |
| 9. Batch Normalization Summary.mp4 |
2.98Мб |
| 9. Batch Normalization Summary-en_US.srt |
2.03Кб |
| 9. Suggestion Box.mp4 |
19.35Мб |
| 9. Suggestion Box-en_US.srt |
4.50Кб |