- 【影视】 [Udemy] Deep Learning Recurrent Neural Networks in Python (06.2021)
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- 10. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 323.9 MB
- 10. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 201.3 MB
- 5. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.0 MB
- 12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 142.9 MB
- 12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.5 MB
- 11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
- 2. Google Colab/2. Uploading your own data to Google Colab.mp4 108.3 MB
- 5. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4 104.2 MB
- 4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 104.0 MB
- 5. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 102.7 MB
- 11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 98.1 MB
- 5. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 92.5 MB
- 5. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 90.4 MB
- 3. Machine Learning and Neurons/5. Classification Notebook.mp4 81.4 MB
- 5. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 79.9 MB
- 6. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4 79.2 MB
- 2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 75.0 MB
- 5. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 69.8 MB
- 3. Machine Learning and Neurons/11. How does a model learn.mp4 63.5 MB
- 12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 63.1 MB
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- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
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- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning- Recurrent Neural Networks in Python (Updated 8-2019).zip
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- 【压缩文件】 [ CourseMega.com ] Udemy - Deep Learning - Recurrent Neural Networks in Python 2021.zip
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- 【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Recurrent Neural Networks in Python
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- 8. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
- 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
- 7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
- 7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
- 7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
- 8. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 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 FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
- 8. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
- 2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
- 8. Appendix FAQ/10. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.6 MB
- 8. Appendix FAQ/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 FAQ/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 26.7 MB
- 8. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
- 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
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- 【影视】 GetFreeCourses.Co-Udemy-Deep Learning Recurrent Neural Networks with Python
- 收录时间:2021-08-11 文档个数:199 文档大小:4.7 GB 最近下载:2024-11-05 人气:2987 磁力链接
- 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
- 09 TensorFlow/002 TensorFlow Text Classification Example using RNN.mp4 136.7 MB
- 11 Project II_ Stock Price Prediction/004 RNN Model Training and Evaluation.mp4 119.6 MB
- 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
- 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
- 03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
- 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
- 04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
- 11 Project II_ Stock Price Prediction/003 Data Prepration.mp4 81.2 MB
- 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 MB
- 10 Project I_ Book Writer/002 Data Mapping.mp4 76.9 MB
- 07 Sentiment Classification using RNN/001 Vocabulary Implementation.mp4 76.4 MB
- 10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
- 05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
- 03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
- 12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
- 11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
- 03 DNN Overview/017 Weigth Initialization.mp4 66.6 MB
- 02 Applications of RNN (Motivation)/005 Stock Price Predictions.mp4 66.2 MB
- 04 RNN Architecture/003 Infinite Memory Architecture.mp4 62.7 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
- 03 Recurrent Neural Networks for NLP/021 Classifying Poetry in Code.mp4 48.1 MB
- 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
- 04 Advanced RNN Units/031 Learning from Wikipedia Data in Code part 2.mp4 26.9 MB
- 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
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- 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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- 【影视】 [FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks in Python
- 收录时间:2020-07-18 文档个数:107 文档大小:1.5 GB 最近下载:2024-11-08 人气:2437 磁力链接
- 8. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
- 7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
- 7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
- 7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
- 7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
- 8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
- 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
- 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
- 4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 24.6 MB
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- 04 Advanced RNN Units/030 Learning from Wikipedia Data in Code part 1.mp4 51.1 MB
- 03 Recurrent Neural Networks for NLP/021 Classifying Poetry in Code.mp4 48.1 MB
- 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
- 04 Advanced RNN Units/031 Learning from Wikipedia Data in Code part 2.mp4 26.9 MB
- 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
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- 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
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- 07 Sentiment Classification using RNN/006 RNN Setup 2.mp4 178.0 MB
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- 02 Applications of RNN (Motivation)/006 When to Model RNN.mp4 101.2 MB
- 06 RNN implementation/011 Language Modeling Next Word Prediction Python 6.mp4 94.6 MB
- 03 DNN Overview/020 Rprop Momentum.mp4 89.2 MB
- 03 DNN Overview/022 DropOut EarlyStopping Hyperparameters.mp4 81.7 MB
- 04 RNN Architecture/004 Weight Sharing.mp4 81.3 MB
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- 10 Project I_ Book Writer/003 Modling RNN Architecture.mp4 78.9 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
- 2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
- 4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 24.6 MB
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- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
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- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
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- Chapter 1 Welcome/002. Outline.mp4 30.5 MB
- Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
- Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
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