[Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence - 磁力狗

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文档列表

18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4.!qB 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4.!qB 158.0 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4.!qB 88.7 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4.!qB 72.9 MB
8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4.!qB 72.6 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4.!qB 68.1 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4.!qB 62.4 MB
16. In-Depth Gradient Descent/5. Adam (pt 1).mp4.!qB 57.9 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4.!qB 56.0 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4.!qB 54.8 MB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp4.!qB 51.2 MB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp4.!qB 45.7 MB
3. Machine Learning and Neurons/16. Train Sets vs. Validation Sets vs. Test Sets.mp4.!qB 44.5 MB
5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp4.!qB 42.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4.!qB 40.1 MB
1. Introduction/1. Welcome.mp4.!qB 37.5 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4.!qB 34.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp4.!qB 33.8 MB
7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp4.!qB 32.9 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4.!qB 30.2 MB
5. Convolutional Neural Networks/6. CNN Code Preparation (part 1).mp4.!qB 29.3 MB
5. Convolutional Neural Networks/13. Improving CIFAR-10 Results.mp4.!qB 21.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4.!qB 20.9 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code Preparation.mp4.!qB 19.8 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4.!qB 18.4 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4.!qB 16.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Other Ways to Forecast.mp4.!qB 14.6 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4.!qB 13.6 MB
18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4.!qB 6.4 MB
13. VIP Uncertainty Estimation/2. Estimating Prediction Uncertainty Code.mp4.!qB 5.8 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4.!qB 5.0 MB
1. Introduction/2. Overview and Outline.mp4.!qB 4.5 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4.!qB 3.8 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code Yourself (part 1).mp4.!qB 2.2 MB
16. In-Depth Gradient Descent/6. Adam (pt 2).mp4.!qB 1.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.vtt 28.6 kB
16. In-Depth Gradient Descent/5. Adam (pt 1).vtt 15.0 kB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.9 kB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).vtt 11.9 kB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.vtt 11.5 kB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.vtt 8.2 kB
1. Introduction/1. Welcome.vtt 5.2 kB
7. Natural Language Processing (NLP)/[Tutorialsplanet.NET].url 128 Bytes
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.mp4 0 Bytes
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.vtt 0 Bytes

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