Udemy - Modern Deep Learning in Python [TP]
- Category Other
- Type Tutorials
- Language English
- Total size 3.7 GB
- Uploaded By tutplanet
- Downloads 136
- Last checked 6 days ago
- Date uploaded 3 years ago
- Seeders 2
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Udemy - Modern Deep Learning in Python [TP]
Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
What you'll learn
Apply momentum to backpropagation to train neural networks
Apply adaptive learning rate procedures like AdaGrad, RMSprop, and Adam to backpropagation to train neural networks
Understand the basic building blocks of Theano
Build a neural network in Theano
Understand the basic building blocks of TensorFlow
Build a neural network in TensorFlow
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Files:
[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python 1. Introduction and Outline- 1. Introduction and Outline-en_US.srt (12.0 KB)
- 1. Introduction and Outline.mp4 (51.8 MB)
- 2. External URLs.txt (0.1 KB)
- 2. Where to get the Code-en_US.srt (7.1 KB)
- 2. Where to get the Code.mp4 (16.6 MB)
- 3. How to Succeed in this Course-en_US.srt (7.9 KB)
- 3. How to Succeed in this Course.mp4 (46.5 MB)
- 1. Transition to the 2nd Half of the Course-en_US.srt (6.4 KB)
- 1. Transition to the 2nd Half of the Course.mp4 (13.0 MB)
- 1. Facial Expression Recognition Project Introduction-en_US.srt (6.4 KB)
- 1. Facial Expression Recognition Project Introduction.mp4 (12.7 MB)
- 2. Facial Expression Recognition Problem Description-en_US.srt (14.8 KB)
- 2. Facial Expression Recognition Problem Description.mp4 (33.8 MB)
- 3. The class imbalance problem-en_US.srt (7.4 KB)
- 3. The class imbalance problem.mp4 (15.7 MB)
- 4. Utilities walkthrough-en_US.srt (5.4 KB)
- 4. Utilities walkthrough.mp4 (26.1 MB)
- 5. Class-Based ANN in Theano-en_US.srt (14.9 KB)
- 5. Class-Based ANN in Theano.mp4 (96.2 MB)
- 6. Class-Based ANN in TensorFlow-en_US.srt (12.0 KB)
- 6. Class-Based ANN in TensorFlow.mp4 (97.1 MB)
- 7. Facial Expression Recognition Project Summary-en_US.srt (1.7 KB)
- 7. Facial Expression Recognition Project Summary.mp4 (3.8 MB)
- 1. Modern Regularization Techniques Section Introduction-en_US.srt (2.9 KB)
- 1. Modern Regularization Techniques Section Introduction.mp4 (8.0 MB)
- 2. Dropout Regularization-en_US.srt (14.1 KB)
- 2. Dropout Regularization.mp4 (48.8 MB)
- 3. Dropout Intuition-en_US.srt (4.4 KB)
- 3. Dropout Intuition.mp4 (9.1 MB)
- 4. Noise Injection-en_US.srt (6.7 KB)
- 4. Noise Injection.mp4 (14.6 MB)
- 5. Modern Regularization Techniques Section Summary-en_US.srt (2.6 KB)
- 5. Modern Regularization Techniques Section Summary.mp4 (5.3 MB)
- 1. Batch Normalization Introduction-en_US.srt (2.4 KB)
- 1. Batch Normalization Introduction.mp4 (3.5 MB)
- 2. Exponentially-Smoothed Averages-en_US.srt (5.3 KB)
- 2. Exponentially-Smoothed Averages.mp4 (8.3 MB)
- 3. Batch Normalization Theory-en_US.srt (13.5 KB)
- 3. Batch Normalization Theory.mp4 (53.8 MB)
- 4. Batch Normalization Tensorflow (part 1)-en_US.srt (6.4 KB)
- 4. Batch Normalization Tensorflow (part 1).mp4 (11.3 MB)
- 5. Batch Normalization Tensorflow (part 2)-en_US.srt (6.3 KB)
- 5. Batch Normalization Tensorflow (part 2).mp4 (66.5 MB)
- 6. Batch Normalization Theano (part 1)-en_US.srt (5.2 KB)
- 6. Batch Normalization Theano (part 1).mp4 (10.1 MB)
- 7. Batch Normalization Theano (part 2)-en_US.srt (7.7 KB)
- 7. Batch Normalization Theano (part 2).mp4 (76.3 MB)
- 8. Noise Perspective-en_US.srt (2.3 KB)
- 8. Noise Perspective.mp4 (3.3 MB)
- 9. Batch Normalization Summary-en_US.srt (2.0 KB)
- 9. Batch Normalization Summary.mp4 (3.0 MB)
- 1. Keras Discussion-en_US.srt (8.8 KB)
- 1. Keras Discussion.mp4 (15.3 MB)
- 2. Keras in Code-en_US.srt (7.2 KB)
- 2. Keras in Code.mp4 (49.2 MB)
- 3. Keras Functional API-en_US.srt (5.0 KB)
- 3. Keras Functional API.mp4 (29.1 MB)
- 4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt (1.9 KB)
- 4. How to easily convert Keras into Tensorflow 2.0 code.mp4 (6.2 MB)
- [Tutorialsplanet.NET].url (0.1 KB)
- 1. PyTorch Basics-en_US.srt (14.2 KB)
- 1. PyTorch Basics.mp4 (83.9 MB)
- 2. PyTorch Dropout-en_US.srt (3.0 KB)
- 2. PyTorch Dropout.mp4 (35.8 MB)
- 3. PyTorch Batch Norm-en_US.srt (2.9 KB)
- 3. PyTorch Batch Norm.mp4 (36.8 MB)
- 1. PyTorch, CNTK, and MXNet-en_US.srt (1.0 KB)
- 1. PyTorch, CNTK, and MXNet.mp4 (1.8 MB)
- 1. What's the difference between neural networks and deep learning-en_US.srt (9.8 KB)
- 1. What's the difference between neural networks and deep learning.mp4 (27.2 MB)
- 2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt (5.3 KB)
- 2. Manually Choosing Learning Rate and Regularization Penalty.mp4 (10.3 MB)
- 1. Windows-Focused Environment Setup 2018-en_US.srt (19.0 KB)
- 1. Windows-Focused Environment Setup 2018.mp4 (308.8 MB)
- 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt (13.6 KB)
- 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (192.0 MB)
- 1. How to Code by Yourself (part 1)-en_US.srt (21.7 KB)
- 1. How to Code by Yourself (part 1).mp4 (93.6 MB)
- 2. How to Code by Yourself (part 2)-en_US.srt (12.8 KB)
- 2. How to Code by Yourself (part 2).mp4 (29.3 MB)
- 3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt (13.5 KB)
- 3. Proof that using Jupyter Notebook is the same as not using it.mp4 (108.5 MB)
- 4. How to Uncompress a .tar.gz file-en_US.srt (3.8 KB)
- 4. How to Uncompress a .tar.gz file.mp4 (6.4 MB)
- 5. Python 2 vs Python 3-en_US.srt (5.8 KB)
- 5. Python 2 vs Python 3.mp4 (10.4 MB)
- [Tutorialsplanet.NET].url (0.1 KB)
- 1. Review (pt 1) Neuron Predictions-en_US.srt (17.1 KB)
- 1. Review (pt 1) Neuron Predictions.mp4 (40.5 MB)
- 2. Review (pt 2) Neuron Learning-en_US.srt (11.7 KB)
- 2. Review (pt 2) Neuron Learning.mp4 (22.2 MB)
- 3. Review (pt 3) Artificial Neural Networks-en_US.srt (14.5 KB)
- 3. Review (pt 3) Artificial Neural Networks.mp4 (34.1 MB)
- 4. Review Exercise Prompt-en_US.srt (7.3 KB)
- 4. Review Exercise Prompt.mp4 (32.2 MB)
- 5. Review Code (pt 1)-en_US.srt (6.9 KB)
- 5. Review Code (pt 1).mp4 (25.9 MB)
- 6. Review Code (pt 2)-en_US.srt (14.9 KB)
- 6. Review Code (pt 2).mp4 (126.8 MB)
- 7. Review Summary-en_US.srt (1.3 KB)
- 7. Review Summary.mp4 (4.3 MB)
- [Tutorialsplanet.NET].url (0.1 KB)
- 1. How to Succeed in this Course (Long Version)-en_US.srt (14.2 KB)
- 1. How to Succeed in this Course (Long Version).mp4 (24.9 MB)
- 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced-en_US.srt (30.7 KB)
- 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (60.2 MB)
- 3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt (16.0 KB)
- 3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (134.9 MB)
- 4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt (22.7 KB)
- 4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (136.4 MB)
- 1. What is the Appendix-en_US.srt (3.7 KB)
- 1. What is the Appendix.mp4 (8.9 MB)
- 2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt (7.5 KB)
- 2. BONUS Where to get discount coupons and FREE deep learning material.mp4 (37.8 MB)
- 1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory)-en_US.srt (20.5 KB)
- 1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 (57.6 MB)
- 2. SGD Exercise Prompt-en_US.srt (4.3 KB)
- 2. SGD Exercise Prompt.mp4 (9.7 MB)
- 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1)-en_US.srt (13.3 KB)
- 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4 (52.0 MB)
- 4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2)-en_US.srt (14.3 KB)
- 4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 (110.6 MB)
- 1. Using Momentum to Speed Up Training-en_US.srt (7.5 KB)
- 1. Using Momentum to Speed Up Training.mp4 (25.6 MB)
- 2. Nesterov Momentum-en_US.srt (7.2 KB)
- 2. Nesterov Momentum.mp4 (12.9 MB)
- 3. Momentum in Code-en_US.srt (6.1 KB)
- 3. Momentum in Code.mp4 (38.1 MB)
- 4. Variable and adaptive learning rates-en_US.srt (14.6 KB)
- 4. Variable and adaptive learning rates.mp4 (23.5 MB)
- 5. Constant learning rate vs. RMSProp in Code-en_US.srt (3.9 KB)
- 5. Constant learning rate vs. RMSProp in Code.mp4 (24.2 MB)
- 6. Adam Optimization (pt 1)-en_US.srt (16.1 KB)
- 6. Adam Optimization (pt 1).mp4 (55.2 MB)
- 7. Adam Optimization (pt 2)-en_US.srt (13.9 KB)
- 7. Adam Optimization (pt 2).mp4 (52.8 MB)
- 8. Adam in Code-en_US.srt (6.4 KB)
- 8. Adam in Code.mp4 (30.5 MB)
- 9. Suggestion Box-en_US.srt (4.5 KB)
- 9. Suggestion Box.mp4 (19.4 MB)
- 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search-en_US.srt (4.6 KB)
- 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 (7.9 MB)
- 2. Sampling Logarithmically-en_US.srt (3.8 KB)
- 2. Sampling Logarithmically.mp4 (5.2 MB)
- 3. Grid Search in Code-en_US.srt (8.9 KB)
- 3. Grid Search in Code.mp4 (68.5 MB)
- 4. Modifying Grid Search-en_US.srt (1.8 KB)
- 4. Modifying Grid Search.mp4 (2.4 MB)
- 5. Random Search in Code-en_US.srt (4.5 KB)
- 5. Random Search in Code.mp4 (39.0 MB)
- 1. Weight Initialization Section Introduction-en_US.srt (1.2 KB)
- 1. Weight Initialization Section Introduction.mp4 (1.7 MB)
- 2. Vanishing and Exploding Gradients-en_US.srt (7.8 KB)
- 2. Vanishing and Exploding Gradients.mp4 (13.5 MB)
- 3. Weight Initialization-en_US.srt (10.1 KB)
- 3. Weight Initialization.mp4 (15.0 MB)
- 4. Local vs. Global Minima-en_US.srt (3.4 KB)
- 4. Local vs. Global Minima.mp4 (8.3 MB)
- 5. Weight Initialization Section Summary-en_US.srt (2.0 KB)
- 5. Weight Initialization Section Summary.mp4 (3.5 MB)
- 1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt (7.0 KB)
- 1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 (65.3 MB)
- 2. Building a neural network in Theano-en_US.srt (3.7 KB)
- 2. Building a neural network in Theano.mp4 (49.9 MB)
- 3. Is Theano Dead-en_US.srt (12.7 KB)
- 3. Is Theano Dead.mp4 (23.1 MB)
- [Tutorialsplanet.NET].url (0.1 KB)
- 1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt (5.7 KB)
- 1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 (39.2 MB)
- 2. Building a neural network in TensorFlow-en_US.srt (5.7 KB)
- 2. Building a neural network in TensorFlow.mp4 (43.4 MB)
- 3. What is a Session (And more)-en_US.srt (17.8 KB)
- 3. What is a Session (And more).mp4 (31.1 MB)
- 1. Setting up a GPU Instance on Amazon Web Services-en_US.srt (4.3 KB)
- 1. Setting up a GPU Instance on Amazon Web Services.mp4 (101.9 MB)
- 2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer-en_US.srt (31.1 KB)
- 2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 (236.3 MB)
- 3. Can Big Data be used to Speed Up Backpropagation-en_US.srt (4.1 KB)
- 3. Can Big Data be used to Speed Up Backpropagation.mp4 (9.4 MB)
- 4. Exercises and Concepts Still to be Covered-en_US.srt (2.7 KB)
- 4. Exercises and Concepts Still to be Covered.mp4 (8.7 MB)
- 5. How to Improve your Theano and Tensorflow Skills-en_US.srt (5.9 KB)
- 5. How to Improve your Theano and Tensorflow Skills.mp4 (31.9 MB)
- 6. Theano vs. TensorFlow-en_US.srt (8.2 KB)
- 6. Theano vs. TensorFlow.mp4 (16.4 MB)
- [Tutorialsplanet.NET].url (0.1 KB)
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