PirateBay Download | modern deep learning python

modern deep learning python

Type:: Other
Files:: 272
Size:: 3.8 GB
Uploaded On:: June 27, 2021, 4:42 a.m.
Added By:: tuts756
Seeders:: 0
Leechers:: 1
Info Hash:: 1640876D6BD39FC5C464B869655790A9ED46AB55

Description This course continues where my first course, Deep Learning in Python, left off. You already know how to build an artificial neural network in Python, and you have a plug-and-play script that you can use for TensorFlow. Neural networks are one of the staples of machine learning, and they are always a top contender in Kaggle contests. If you want to improve your skills with neural networks and deep learning, this is the course for you. You already learned about backpropagation, but there were a lot of unanswered questions. How can you modify it to improve training speed? In this course you will learn about batch and stochastic gradient descent, two commonly used techniques that allow you to train on just a small sample of the data at each iteration, greatly speeding up training time. You will also learn about momentum, which can be helpful for carrying you through local minima and prevent you from having to be too conservative with your learning rate. You will also learn about adaptive learning rate techniques like AdaGrad, RMSprop, and Adam which can also help speed up your training. Because you already know about the fundamentals of neural networks, we are going to talk about more modern techniques, like dropout regularization and batch normalization, which we will implement in both TensorFlow and Theano. The course is constantly being updated and more advanced regularization techniques are coming in the near future. In my last course, I just wanted to give you a little sneak peak at TensorFlow. In this course we are going to start from the basics so you understand exactly what’s going on – what are TensorFlow variables and expressions and how can you use these building blocks to create a neural network? We are also going to look at a library that’s been around much longer and is very popular for deep learning – Theano. With this library we will also examine the basic building blocks – variables, expressions, and functions – so that you can build neural networks in Theano with confidence. Theano was the predecessor to all modern deep learning libraries today. Today, we have almost TOO MANY options. Keras, PyTorch, CNTK (Microsoft), MXNet (Amazon / Apache), etc. In this course, we cover all of these! Pick and choose the one you love best. Because one of the main advantages of TensorFlow and Theano is the ability to use the GPU to speed up training, I will show you how to set up a GPU-instance on AWS and compare the speed of CPU vs GPU for training a deep neural network. With all this extra speed, we are going to look at a real dataset – the famous MNIST dataset (images of handwritten digits) and compare against various benchmarks. This is THE dataset researchers look at first when they want to ask the question, “does this thing work?” These images are important part of deep learning history and are still used for testing today. Every deep learning expert should know them well. This course focuses on “how to build and understand“, not just “how to use”. Anyone can learn to use an API in 15 minutes after reading some documentation. It’s not about “remembering facts”, it’s about “seeing for yourself” via experimentation. It will teach you how to visualize what’s happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you. “If you can’t implement it, you don’t understand it” Or as the great physicist Richard Feynman said: “What I cannot create, I do not understand”. My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code? After doing the same thing with 10 datasets, you realize you didn’t learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times… Suggested Prerequisites: Know about gradient descent Probability and statistics Python coding: if/else, loops, lists, dicts, sets Numpy coding: matrix and vector operations, loading a CSV file Know how to write a neural network with Numpy WHAT ORDER SHOULD I TAKE YOUR COURSES IN?: Check out the lecture “Machine Learning and AI Prerequisite Roadmap” (available in the FAQ of any of my courses, including the free Numpy course) Who this course is for: Students and professionals who want to deepen their machine learning knowledge Data scientists who want to learn more about deep learning Data scientists who already know about backpropagation and gradient descent and want to improve it with stochastic batch training, momentum, and adaptive learning rate procedures like RMSprop Those who do not yet know about backpropagation or softmax should take my earlier course, deep learning in Python, first Requirements Be comfortable with Python, Numpy, and Matplotlib If you do not yet know about gradient descent, backprop, and softmax, take my earlier course, Deep Learning in Python, and then return to this course. Last Updated 4/2021

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[TutsNode.com] - Modern Deep Learning in Python/18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 308.8 MB
TutsNode.com.txt 63 bytes
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer-en_US.srt 31.1 KB
[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced-en_US.srt 30.7 KB
[TutsNode.com] - Modern Deep Learning in Python/1. Introduction and Outline/2. External URLs.txt 75 bytes
[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt 22.7 KB
[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1)-en_US.srt 21.7 KB
[TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory)-en_US.srt 20.5 KB
[TutsNode.com] - Modern Deep Learning in Python/18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018-en_US.srt 19.0 KB
[TutsNode.com] - Modern Deep Learning in Python/8. TensorFlow/3. What is a Session (And more)-en_US.srt 17.8 KB
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[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 236.3 MB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/1. Review (pt 1) Neuron Predictions-en_US.srt 17.1 KB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1)-en_US.srt 16.1 KB
[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt 16.0 KB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/6. Review Code (pt 2)-en_US.srt 14.9 KB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/5. Class-Based ANN in Theano-en_US.srt 14.9 KB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description-en_US.srt 14.8 KB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates-en_US.srt 14.6 KB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/3. Review (pt 3) Artificial Neural Networks-en_US.srt 14.5 KB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/7. Review Summary-en_US.srt 1.3 KB
[TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2)-en_US.srt 14.3 KB
[TutsNode.com] - Modern Deep Learning in Python/15. PyTorch/1. PyTorch Basics-en_US.srt 14.2 KB
[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version)-en_US.srt 14.2 KB
[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/2. Dropout Regularization-en_US.srt 14.1 KB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2)-en_US.srt 13.9 KB
[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt 13.5 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/3. Batch Normalization Theory-en_US.srt 13.5 KB
[TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1)-en_US.srt 13.3 KB
[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2)-en_US.srt 12.8 KB
[TutsNode.com] - Modern Deep Learning in Python/7. Theano/3. Is Theano Dead-en_US.srt 12.7 KB
[TutsNode.com] - Modern Deep Learning in Python/1. Introduction and Outline/1. Introduction and Outline-en_US.srt 12.0 KB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow-en_US.srt 12.0 KB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/2. Review (pt 2) Neuron Learning-en_US.srt 11.7 KB
[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/3. Weight Initialization-en_US.srt 10.1 KB
[TutsNode.com] - Modern Deep Learning in Python/17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning-en_US.srt 9.8 KB
[TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/3. Grid Search in Code-en_US.srt 8.9 KB
[TutsNode.com] - Modern Deep Learning in Python/14. Keras/1. Keras Discussion-en_US.srt 8.8 KB
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow-en_US.srt 8.2 KB
[TutsNode.com] - Modern Deep Learning in Python/1. Introduction and Outline/3. How to Succeed in this Course-en_US.srt 7.9 KB
[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/2. Vanishing and Exploding Gradients-en_US.srt 7.8 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/7. Batch Normalization Theano (part 2)-en_US.srt 7.7 KB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training-en_US.srt 7.5 KB
[TutsNode.com] - Modern Deep Learning in Python/21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt 7.5 KB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/3. The class imbalance problem-en_US.srt 7.4 KB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/4. Review Exercise Prompt-en_US.srt 7.3 KB
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[TutsNode.com] - Modern Deep Learning in Python/7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization-en_US.srt 7.0 KB
[TutsNode.com] - Modern Deep Learning in Python/2. Review/5. Review Code (pt 1)-en_US.srt 6.9 KB
[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/4. Noise Injection-en_US.srt 6.7 KB
[TutsNode.com] - Modern Deep Learning in Python/10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course-en_US.srt 6.4 KB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/8. Adam in Code-en_US.srt 6.4 KB
[TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/4. Modifying Grid Search-en_US.srt 1.8 KB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction-en_US.srt 6.4 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/4. Batch Normalization Tensorflow (part 1)-en_US.srt 6.4 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/5. Batch Normalization Tensorflow (part 2)-en_US.srt 6.3 KB
[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/1. Weight Initialization Section Introduction-en_US.srt 1.2 KB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/3. Momentum in Code-en_US.srt 6.1 KB
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills-en_US.srt 5.9 KB
[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3-en_US.srt 5.8 KB
[TutsNode.com] - Modern Deep Learning in Python/8. TensorFlow/2. Building a neural network in TensorFlow-en_US.srt 5.7 KB
[TutsNode.com] - Modern Deep Learning in Python/8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization-en_US.srt 5.7 KB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/4. Utilities walkthrough-en_US.srt 5.4 KB
[TutsNode.com] - Modern Deep Learning in Python/17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt 5.3 KB
[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/5. Weight Initialization Section Summary-en_US.srt 2.0 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/2. Exponentially-Smoothed Averages-en_US.srt 5.3 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/6. Batch Normalization Theano (part 1)-en_US.srt 5.2 KB
[TutsNode.com] - Modern Deep Learning in Python/14. Keras/3. Keras Functional API-en_US.srt 5.0 KB
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[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/9. Suggestion Box-en_US.srt 4.5 KB
[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/3. Dropout Intuition-en_US.srt 4.4 KB
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services-en_US.srt 4.3 KB
[TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt-en_US.srt 4.3 KB
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation-en_US.srt 4.1 KB
[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code-en_US.srt 3.9 KB
[TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/2. Sampling Logarithmically-en_US.srt 3.8 KB
[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file-en_US.srt 3.8 KB
[TutsNode.com] - Modern Deep Learning in Python/7. Theano/2. Building a neural network in Theano-en_US.srt 3.7 KB
[TutsNode.com] - Modern Deep Learning in Python/21. Appendix FAQ Finale/1. What is the Appendix-en_US.srt 3.7 KB
[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/4. Local vs. Global Minima-en_US.srt 3.4 KB
[TutsNode.com] - Modern Deep Learning in Python/15. PyTorch/2. PyTorch Dropout-en_US.srt 3.0 KB
[TutsNode.com] - Modern Deep Learning in Python/15. PyTorch/3. PyTorch Batch Norm-en_US.srt 2.9 KB
[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction-en_US.srt 2.9 KB
[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/4. Exercises and Concepts Still to be Covered-en_US.srt 2.7 KB
[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary-en_US.srt 2.6 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/1. Batch Normalization Introduction-en_US.srt 2.4 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/8. Noise Perspective-en_US.srt 2.3 KB
[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/9. Batch Normalization Summary-en_US.srt 2.0 KB
[TutsNode.com] - Modern Deep Learning in Python/14. Keras/4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt 1.9 KB
[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary-en_US.srt 1.7 KB
[TutsNode.com] - Modern Deep Learning in Python/16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet-en_US.srt 1.0 KB
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[TutsNode.com] - Modern Deep Learning in Python/18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 192.0 MB
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[TutsNode.com] - Modern Deep Learning in Python/21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.8 MB
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[TutsNode.com] - Modern Deep Learning in Python/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 24.9 MB
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[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.mp4 24.2 MB
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[TutsNode.com] - Modern Deep Learning in Python/7. Theano/3. Is Theano Dead.mp4 23.1 MB
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[TutsNode.com] - Modern Deep Learning in Python/2. Review/2. Review (pt 2) Neuron Learning.mp4 22.2 MB
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[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/9. Suggestion Box.mp4 19.4 MB
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[TutsNode.com] - Modern Deep Learning in Python/1. Introduction and Outline/2. Where to get the Code.mp4 16.6 MB
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[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/6. Theano vs. TensorFlow.mp4 16.4 MB
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[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/3. The class imbalance problem.mp4 15.7 MB
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[TutsNode.com] - Modern Deep Learning in Python/14. Keras/1. Keras Discussion.mp4 15.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/3. Weight Initialization.mp4 15.0 MB
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[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/4. Noise Injection.mp4 14.6 MB
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[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/2. Vanishing and Exploding Gradients.mp4 13.5 MB
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[TutsNode.com] - Modern Deep Learning in Python/10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.mp4 13.0 MB
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[TutsNode.com] - Modern Deep Learning in Python/4. Momentum and adaptive learning rates/2. Nesterov Momentum.mp4 12.9 MB
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[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 12.7 MB
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[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).mp4 11.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Python 2 vs Python 3.mp4 10.4 MB
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[TutsNode.com] - Modern Deep Learning in Python/17. Deep Learning Review Topics/2. Manually Choosing Learning Rate and Regularization Penalty.mp4 10.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/6. Batch Normalization Theano (part 1).mp4 10.1 MB
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[TutsNode.com] - Modern Deep Learning in Python/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/2. SGD Exercise Prompt.mp4 9.7 MB
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[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/3. Can Big Data be used to Speed Up Backpropagation.mp4 9.4 MB
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[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/3. Dropout Intuition.mp4 9.1 MB
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[TutsNode.com] - Modern Deep Learning in Python/21. Appendix FAQ Finale/1. What is the Appendix.mp4 8.9 MB
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[TutsNode.com] - Modern Deep Learning in Python/9. GPU Speedup, Homework, and Other Misc Topics/4. Exercises and Concepts Still to be Covered.mp4 8.7 MB
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[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/4. Local vs. Global Minima.mp4 8.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/2. Exponentially-Smoothed Averages.mp4 8.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.mp4 8.0 MB
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[TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 7.9 MB
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[TutsNode.com] - Modern Deep Learning in Python/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to Uncompress a .tar.gz file.mp4 6.4 MB
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[TutsNode.com] - Modern Deep Learning in Python/14. Keras/4. How to easily convert Keras into Tensorflow 2.0 code.mp4 6.2 MB
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[TutsNode.com] - Modern Deep Learning in Python/12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.mp4 5.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/2. Sampling Logarithmically.mp4 5.2 MB
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[TutsNode.com] - Modern Deep Learning in Python/2. Review/7. Review Summary.mp4 4.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 3.8 MB
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[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/1. Batch Normalization Introduction.mp4 3.5 MB
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[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/5. Weight Initialization Section Summary.mp4 3.5 MB
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[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/8. Noise Perspective.mp4 3.3 MB
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[TutsNode.com] - Modern Deep Learning in Python/13. Batch Normalization/9. Batch Normalization Summary.mp4 3.0 MB
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[TutsNode.com] - Modern Deep Learning in Python/5. Choosing Hyperparameters/4. Modifying Grid Search.mp4 2.4 MB
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[TutsNode.com] - Modern Deep Learning in Python/16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.mp4 1.8 MB
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[TutsNode.com] - Modern Deep Learning in Python/6. Weight Initialization/1. Weight Initialization Section Introduction.mp4 1.7 MB

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