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

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
1F8D82E4DE79B49323EEA74BB79F534C583C4858
Source
Unverified
Total Size
1.35 GB
Total Files
45
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Introduction/1. Welcome.mp4.!qB35.72 MB
1. Introduction/1. Welcome.vtt5.04 KB
1. Introduction/2. Overview and Outline.mp4.!qB4.28 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4.!qB16.08 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4.!qB52.22 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).vtt11.58 KB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4.!qB4.81 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4.!qB84.55 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4.!qB12.93 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4.!qB53.44 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4.!qB17.55 MB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.mp4.!qB43.55 MB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.vtt11.25 KB
13. VIP Uncertainty Estimation/2. Estimating Prediction Uncertainty Code.mp4.!qB5.54 MB
16. In-Depth Gradient Descent/5. Adam (pt 1).mp4.!qB55.17 MB
16. In-Depth Gradient Descent/5. Adam (pt 1).vtt14.61 KB
16. In-Depth Gradient Descent/6. Adam (pt 2).mp4.!qB1.62 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4.!qB150.67 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt12.59 KB
18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4.!qB6.13 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4.!qB167.33 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.vtt27.94 KB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code Yourself (part 1).mp4.!qB2.08 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4.!qB59.53 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.mp40 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.vtt0 B
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4.!qB28.85 MB
3. Machine Learning and Neurons/16. Train Sets vs. Validation Sets vs. Test Sets.mp4.!qB42.42 MB
3. Machine Learning and Neurons/6. Moore's Law Notebook.mp4.!qB64.98 MB
5. Convolutional Neural Networks/13. Improving CIFAR-10 Results.mp4.!qB20.77 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4.!qB69.48 MB
5. Convolutional Neural Networks/6. CNN Code Preparation (part 1).mp4.!qB27.92 MB
5. Convolutional Neural Networks/9. CNN for Fashion MNIST.mp4.!qB40.74 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4.!qB38.28 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4.!qB19.97 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 2).mp4.!qB32.24 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Other Ways to Forecast.mp4.!qB13.94 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4.!qB33 MB
7. Natural Language Processing (NLP)/6. Text Classification with LSTMs.mp4.!qB31.42 MB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.mp4.!qB48.81 MB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.vtt8.03 KB
7. Natural Language Processing (NLP)/[Tutorialsplanet.NET].url128 B
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4.!qB3.65 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code Preparation.mp4.!qB18.89 MB
8. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4.!qB69.2 MB

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