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[DesireCourse Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
F2F379368645B9C68BF3E53C817168842B105B28
Source
Unverified
Total Size
6.96 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Welcome/1. Introduction.mp439.15 MB
1. Welcome/1. Introduction.srt5.7 KB
1. Welcome/2. Outline.mp473.7 MB
1. Welcome/2. Outline.srt17.1 KB
1. Welcome/3. Where to get the code.mp430.48 MB
1. Welcome/3. Where to get the code.srt7.6 KB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp486.53 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.srt20.71 KB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp478.19 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.srt14.88 KB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp437.77 MB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.srt8.6 KB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp437.58 MB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.srt7.42 KB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp461.28 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.srt17.91 KB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp455.7 MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).srt16.43 KB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp449.2 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).srt13.21 KB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp437.5 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.srt7.62 KB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp497.78 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.srt26.19 KB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp442.99 MB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.srt11.32 KB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp448.96 MB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).srt12.65 KB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp420.94 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.srt6.26 KB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp443.28 MB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.srt12.51 KB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp430.35 MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.srt8.92 KB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp439.03 MB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt12.65 KB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp452.54 MB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt14.88 KB
12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.mp429.65 MB
12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.srt6.84 KB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp456.02 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.srt15.69 KB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp424.06 MB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.srt6.94 KB
12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.mp429.77 MB
12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.srt8.64 KB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp446.83 MB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.srt7.21 KB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp483.39 MB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.srt11.75 KB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp462.33 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.srt7.75 KB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp459.15 MB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.srt8.23 KB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp418.17 MB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.srt4.39 KB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).mp431.56 MB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).srt7.71 KB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4124.46 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.srt20.42 KB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).mp442.39 MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).srt11.03 KB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.mp450.81 MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.srt11.26 KB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.mp450.06 MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.srt8.53 KB
13. Advanced Tensorflow Usage/6. Using the TPU.html1.76 KB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp442.5 MB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt12.2 KB
14. Low-Level Tensorflow/2. Constants and Basic Computation.mp450.24 MB
14. Low-Level Tensorflow/2. Constants and Basic Computation.srt9.63 KB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp470.61 MB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.srt13.58 KB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp470.18 MB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.srt13.28 KB
15. In-Depth Loss Functions/1. Mean Squared Error.mp437.34 MB
15. In-Depth Loss Functions/1. Mean Squared Error.srt11.21 KB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp421.5 MB
15. In-Depth Loss Functions/2. Binary Cross Entropy.srt7.26 KB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp435.43 MB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.srt9.62 KB
16. In-Depth Gradient Descent/1. Gradient Descent.mp434.89 MB
16. In-Depth Gradient Descent/1. Gradient Descent.srt9.77 KB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp425.05 MB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.srt5.4 KB
16. In-Depth Gradient Descent/3. Momentum.mp439.35 MB
16. In-Depth Gradient Descent/3. Momentum.srt7.84 KB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp438.52 MB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.srt15.15 KB
16. In-Depth Gradient Descent/5. Adam.mp442.57 MB
16. In-Depth Gradient Descent/5. Adam.srt13.52 KB
17. Extras/1. Links to TF2.0 Notebooks.html7.83 KB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4166.72 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt14.69 KB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4193.99 MB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.srt19.96 KB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4167.29 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt32.01 KB
19. Appendix FAQ/1. What is the Appendix.mp418.04 MB
19. Appendix FAQ/1. What is the Appendix.srt3.75 KB

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