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

大小 1.35 GB

文件数 45

Info Hash: 1F8D82E4DE79B49323EEA74BB79F534C583C4858

收录时间 2026-01-06 05:34:13

更新时间 2026-01-06 05:34:13

文件列表 (45)

1. Introduction/1. Welcome.mp4.!qB

35.72 MB

1. Introduction/1. Welcome.vtt

5.04 KB

1. Introduction/2. Overview and Outline.mp4.!qB

4.28 MB

11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4.!qB

16.08 MB

11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4.!qB

52.22 MB

11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).vtt

11.58 KB

11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4.!qB

4.81 MB

11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4.!qB

84.55 MB

11. Deep Reinforcement Learning (Theory)/5. The Return.mp4.!qB

12.93 MB

12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4.!qB

53.44 MB

12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4.!qB

17.55 MB

13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp4.!qB

43.55 MB

13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.vtt

11.25 KB

13. VIP Uncertainty Estimation/2. Estimating Prediction Uncertainty Code.mp4.!qB

5.54 MB

16. In-Depth Gradient Descent/5. Adam (pt 1).mp4.!qB

55.17 MB

16. In-Depth Gradient Descent/5. Adam (pt 1).vtt

14.61 KB

16. In-Depth Gradient Descent/6. Adam (pt 2).mp4.!qB

1.62 MB

18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4.!qB

150.67 MB

18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

12.59 KB

18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4.!qB

6.13 MB

18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4.!qB

167.33 MB

18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.vtt

27.94 KB

19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code Yourself (part 1).mp4.!qB

2.08 MB

2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4.!qB

59.53 MB

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 B

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 B

20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4.!qB

28.85 MB

3. Machine Learning and Neurons/16. Train Sets vs. Validation Sets vs. Test Sets.mp4.!qB

42.42 MB

3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4.!qB

64.98 MB

5. Convolutional Neural Networks/13. Improving CIFAR-10 Results.mp4.!qB

20.77 MB

5. Convolutional Neural Networks/5. CNN Architecture.mp4.!qB

69.48 MB

5. Convolutional Neural Networks/6. CNN Code Preparation (part 1).mp4.!qB

27.92 MB

5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp4.!qB

40.74 MB

6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4.!qB

38.28 MB

6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4.!qB

19.97 MB

6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp4.!qB

32.24 MB

6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Other Ways to Forecast.mp4.!qB

13.94 MB

6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4.!qB

33 MB

7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp4.!qB

31.42 MB

7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp4.!qB

48.81 MB

7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.vtt

8.03 KB

7. Natural Language Processing (NLP)/[Tutorialsplanet.NET].url

128 B

8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4.!qB

3.65 MB

8. Recommender Systems/2. Recommender Systems with Deep Learning Code Preparation.mp4.!qB

18.89 MB

8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4.!qB

69.2 MB

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