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- Neural Wraith - Neural Wraith, Book 1.mp3 442.0 MB
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- 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
- 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
- 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
- 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
- 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
- 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
- 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
- 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
- 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
- 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
- 8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
- 8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
- 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
- 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
- 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
- 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
- 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
- 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
- 8. Appendix/10. Is Theano Dead.mp4 18.7 MB
- 8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
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- 7. Building a CNN/1.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
- 7. Building a CNN/8. Building a CNN - FINAL DEMO!.mp4 160.2 MB
- 25. Logistic Regression Implementation/8. Logistic Regression - Step 7.mp4 124.4 MB
- 7. Building a CNN/4. Building a CNN - Step 3.mp4 124.4 MB
- 4. Building an ANN/5. Building an ANN - Step 2.mp4 116.4 MB
- 7. Building a CNN/3. Building a CNN - Step 2.mp4 112.1 MB
- 24. Data Preprocessing Template/8. Data Preprocessing - Step 7.mp4 106.7 MB
- 4. Building an ANN/8. Building an ANN - Step 5.mp4 106.2 MB
- 7. Building a CNN/6. Building a CNN - Step 5.mp4 102.5 MB
- 24. Data Preprocessing Template/6. Data Preprocessing - Step 5.mp4 93.0 MB
- 25. Logistic Regression Implementation/3. Logistic Regression - Step 2.mp4 88.8 MB
- 4. Building an ANN/6. Building an ANN - Step 3.mp4 78.7 MB
- 24. Data Preprocessing Template/4. Data Preprocessing - Step 3.srt 75.3 MB
- 24. Data Preprocessing Template/4. Data Preprocessing - Step 3.mp4 75.3 MB
- 7. Building a CNN/2. Building a CNN - Step 1.mp4 74.2 MB
- 24. Data Preprocessing Template/5. Data Preprocessing - Step 4.mp4 72.4 MB
- 24. Data Preprocessing Template/7. Data Preprocessing - Step 6.mp4 70.9 MB
- 4. Building an ANN/3. Building an ANN - Step 1.mp4 69.7 MB
- 4. Building an ANN/7. Building an ANN - Step 4.mp4 68.5 MB
- 18. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4 67.7 MB
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- 03 Recurrent Neural Networks for NLP/018 Generating Poetry in Code part 1.mp4 55.0 MB
- 04 Advanced RNN Units/030 Learning from Wikipedia Data in Code part 1.mp4 51.1 MB
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- 07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
- 02 The Simple Recurrent Unit/010 The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
- 02 The Simple Recurrent Unit/012 The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
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- 04 Advanced RNN Units/023 RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
- 07 Appendix/037 How to Code by Yourself part 1.mp4 25.7 MB
- 02 The Simple Recurrent Unit/011 Theano Scan Tutorial.mp4 24.9 MB
- 04 Advanced RNN Units/032 Visualizing the Word Embeddings.mp4 24.6 MB
- 04 Advanced RNN Units/027 LSTM in Code.mp4 20.3 MB
- 05 Batch Training/033 Batch Training for Simple RNN.mp4 17.4 MB
- 04 Advanced RNN Units/025 GRU in Code.mp4 15.8 MB
- 07 Appendix/038 How to Code by Yourself part 2.mp4 15.5 MB
- 03 Recurrent Neural Networks for NLP/019 Generating Poetry in Code part 2.mp4 14.2 MB
- 04 Advanced RNN Units/028 Learning from Wikipedia Data.mp4 13.4 MB
- 04 Advanced RNN Units/029 Alternative to Wikipedia Data Brown Corpus.mp4 13.1 MB
- 06 TensorFlow/034 Simple RNN in TensorFlow.mp4 12.6 MB
- 01 Introduction and Outline/004 How to Succeed in this Course.mp4 10.0 MB
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- 26 - Neural Wraith - K.D. Robertson.mp3 41.3 MB
- 12 - Neural Wraith - K.D. Robertson.mp3 39.1 MB
- 06 - Neural Wraith - K.D. Robertson.mp3 38.3 MB
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- 02 - Neural Wraith - K.D. Robertson.mp3 36.1 MB
- 04 - Neural Wraith - K.D. Robertson.mp3 32.1 MB
- 07 - Neural Wraith - K.D. Robertson.mp3 31.8 MB
- 03 - Neural Wraith - K.D. Robertson.mp3 31.5 MB
- 29 - Neural Wraith - K.D. Robertson.mp3 31.2 MB
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- 10 - Neural Wraith - K.D. Robertson.mp3 29.6 MB
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- 11 - Neural Wraith - K.D. Robertson.mp3 28.4 MB
- 20 - Neural Wraith - K.D. Robertson.mp3 27.1 MB
- 21 - Neural Wraith - K.D. Robertson.mp3 26.6 MB
- 09 - Neural Wraith - K.D. Robertson.mp3 23.4 MB
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- 34 - Neural Wraith - K.D. Robertson.mp3 21.8 MB
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- Kandel, Eric R. - Principles of Neural Science, 6e (McGraw-Hill, 2021).epub 281.2 MB
- Kandel, Eric R. - Principles of Neural Science, 6e (McGraw-Hill, 2021).pdf 160.0 MB
- Kandel, Eric R. - Cellular Basis of Behavior_ An Introduction to Behavioral Neurobiology (Freeman, 1976).pdf 120.3 MB
- Kandel, Eric R. - Reductionism in Art and Brain Science_ Bridging the Two Cultures (Columbia, 2016).pdf 55.1 MB
- Kandel, Eric R. - The Age of Insight_ The Quest to Understand the Unconscious in Art, Mind, and Brain... (Random House, 2012).epub 38.4 MB
- Kandel, Eric R. - The Disordered Mind_ What Unusual Brains Tell Us About Ourselves (FSG, 2018).epub 36.2 MB
- Kandel, Eric R. - Reductionism in Art and Brain Science_ Bridging the Two Cultures (Columbia, 2016).epub 24.5 MB
- Kandel, Eric R. [ed.] - Molecular Neurobiology in Neurology and Psychiatry (Raven, 1987).pdf 16.5 MB
- Kandel, Eric R. - There Is Life After the Nobel Prize (Columbia, 2022).epub 11.0 MB
- Kandel, Eric R. - Nobel Lecture (December 8, 2000).pdf 7.6 MB
- Kandel, Eric R. - Psychiatry, Psychoanalysis, and the New Biology of Mind (APP, 2005).pdf 6.3 MB
- Kandel, Eric R. - A Cell-Biological Approach to Learning (Society for Neuroscience, 1978).pdf 5.1 MB
- Kandel, Eric R. - There Is Life After the Nobel Prize (Columbia, 2022).pdf 4.9 MB
- Kandel, Eric R. - In Search of Memory_ The Emergence of a New Science of Mind (Norton, 2006).epub 2.5 MB
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- 收录时间:2020-04-06 文档个数:115 文档大小:866.6 MB 最近下载:2024-12-18 人气:2453 磁力链接
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- 3. Dynamic Programming/5. Knapsack problem example.mp4 31.5 MB
- 2. Backtracking/3. N-queens problem implementation.mp4 30.4 MB
- 4. Neural Network Theory/12. Optimization - cost function.mp4 27.1 MB
- 2. Backtracking/6. Hamiltonian cycle implementation.mp4 26.0 MB
- 5. Neural Network Implementation/5. Neural network implementation - backpropagation.mp4 25.6 MB
- 2. Backtracking/2. N-queens problem introduction.mp4 23.7 MB
- 3. Dynamic Programming/7. Coin change problem introduction.mp4 23.4 MB
- 2. Backtracking/7. Coloring problem introduction.mp4 23.1 MB
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- 2. Backtracking/10. Knight tour implementation.mp4 22.1 MB
- 2. Backtracking/13. Maze problem implementation.mp4 21.7 MB
- 4. Neural Network Theory/17. Gradient calculation I - output layer.mp4 21.3 MB
- 4. Neural Network Theory/13. Simplified feedforward network.mp4 20.4 MB
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- 3. Dynamic Programming/11. Rod cutting problem example.mp4 19.9 MB
- 3. Dynamic Programming/6. Knapsack problem implementation.mp4 19.6 MB
- 4. Neural Network Theory/11. Feedforward neural networks.mp4 19.3 MB
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- 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
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- 7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
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- 3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
- 4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
- 3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
- 8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
- 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
- 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
- 8. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
- 2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
- 8. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
- 4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
- 4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
- 8. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
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- ~Get Your Files Here !/01 - Introduction Interpolation & Machine learning/003 Interpolation (or regression) - The fundamental principle of machine learning.mp4 198.8 MB
- ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/002 Modify input, output & weights.mp4 94.1 MB
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- ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/005 Modify gradient of the error function.mp4 63.4 MB
- ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/009 Training the neural network via gradient descent.mp4 61.4 MB
- ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/003 Add an activation function to the neural network.mp4 60.8 MB
- ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/006 Training & Testing the modified neural network.mp4 60.4 MB
- ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/010 Using the trained network on the test data.mp4 50.2 MB
- ~Get Your Files Here !/03 - Modifying the problem Sign of the sum of two numbers/004 Modify accuracy and error functions.mp4 49.2 MB
- ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/002 From interpolation to neural networks.mp4 49.2 MB
- ~Get Your Files Here !/01 - Introduction Interpolation & Machine learning/001 Overview of the course.mp4 48.2 MB
- ~Get Your Files Here !/06 - [Resources]/001 [Installation] Python and Jupyter Notebook via Anaconda.mp4 44.8 MB
- ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/006 Initialize the weights & Calculate the output.mp4 44.8 MB
- ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/005 Prepare the training and testing data.mp4 43.0 MB
- ~Get Your Files Here !/02 - Your first neural network Sum of two numbers/008 Gradient of the error function.mp4 41.1 MB
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- ~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.mp4 49.9 MB
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- ~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.mp4 29.4 MB
- ~Get Your Files Here !/8. Implementation of ANN in Python/9. Training and Test Sets Splitting Data.mp4 27.7 MB
- ~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.mp4 27.2 MB
- ~Get Your Files Here !/8. Implementation of ANN in Python/12. Adding the input layer and the first hidden layer.mp4 24.7 MB
- ~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.mp4 24.6 MB
- ~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.mp4 24.4 MB
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- ~Get Your Files Here !/8. Implementation of ANN in Python/16. Fitting the ANN model to the training set.mp4 23.5 MB
- ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.mp4 22.0 MB
- ~Get Your Files Here !/8. Implementation of ANN in Python/15. Compiling the artificial neural network.mp4 20.6 MB
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- ~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.mp4 14.3 MB
- ~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.mp4 12.8 MB
- ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.mp4 12.6 MB
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- ~Get Your Files Here !/8. Implementation of ANN in Python/2. Exploring the dataset.mp4 12.0 MB
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- 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
- 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
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- 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
- 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
- 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
- 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
- 8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
- 8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
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- 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
- 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
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- 8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
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