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