Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence [TP]

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[Tutorialsplanet.NET] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence 1. Welcome
  • 1. Introduction.mp4 (34.8 MB)
  • 1. Introduction.srt (5.7 KB)
  • 2. Outline.mp4 (73.7 MB)
  • 2. Outline.srt (17.1 KB)
  • 3. Where to get the code.mp4 (62.9 MB)
  • 3. Where to get the code.srt (15.4 KB)
  • 3.1 Colab Notebooks.html (0.2 KB)
  • 3.2 Github Link.html (0.1 KB)
  • [Tutorialsplanet.NET].url (0.1 KB)
10. GANs (Generative Adversarial Networks)
  • 1. GAN Theory.mp4 (87.2 MB)
  • 1. GAN Theory.srt (20.7 KB)
  • 2. GAN Code.mp4 (78.3 MB)
  • 2. GAN Code.srt (14.9 KB)
11. Deep Reinforcement Learning (Theory)
  • 1. Deep Reinforcement Learning Section Introduction.mp4 (38.1 MB)
  • 1. Deep Reinforcement Learning Section Introduction.srt (8.6 KB)
  • 10. Epsilon-Greedy.mp4 (40.1 MB)
  • 10. Epsilon-Greedy.srt (7.5 KB)
  • 11. Q-Learning.mp4 (61.8 MB)
  • 11. Q-Learning.srt (17.9 KB)
  • 12. Deep Q-Learning DQN (pt 1).mp4 (56.3 MB)
  • 12. Deep Q-Learning DQN (pt 1).srt (16.4 KB)
  • 13. Deep Q-Learning DQN (pt 2).mp4 (49.6 MB)
  • 13. Deep Q-Learning DQN (pt 2).srt (13.2 KB)
  • 14. How to Learn Reinforcement Learning.mp4 (37.7 MB)
  • 14. How to Learn Reinforcement Learning.srt (7.6 KB)
  • 2. Elements of a Reinforcement Learning Problem.mp4 (98.6 MB)
  • 2. Elements of a Reinforcement Learning Problem.srt (26.2 KB)
  • 3. States, Actions, Rewards, Policies.mp4 (43.3 MB)
  • 3. States, Actions, Rewards, Policies.srt (11.3 KB)
  • 4. Markov Decision Processes (MDPs).mp4 (49.3 MB)
  • 4. Markov Decision Processes (MDPs).srt (12.7 KB)
  • 5. The Return.mp4 (21.1 MB)
  • 5. The Return.srt (6.3 KB)
  • 6. Value Functions and the Bellman Equation.mp4 (43.6 MB)
  • 6. Value Functions and the Bellman Equation.srt (12.5 KB)
  • 7. What does it mean to “learn”.mp4 (31.7 MB)
  • 7. What does it mean to “learn”.srt (8.9 KB)
  • 8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 (42.7 MB)
  • 8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt (12.4 KB)
  • 9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 (52.9 MB)
  • 9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt (14.9 KB)
12. Stock Trading Project with Deep Reinforcement Learning
  • 1. Reinforcement Learning Stock Trader Introduction.mp4 (26.0 MB)
  • 1. Reinforcement Learning Stock Trader Introduction.srt (6.8 KB)
  • 10. Help! Why is the code slower on my machine.mp4 (42.5 MB)
  • 10. Help! Why is the code slower on my machine.srt (11.7 KB)
  • 2. Data and Environment.mp4 (51.0 MB)
  • 2. Data and Environment.srt (15.7 KB)
  • 3. Replay Buffer.mp4 (24.0 MB)
  • 3. Replay Buffer.srt (6.9 KB)
  • 4. Program Design and Layout.mp4 (26.0 MB)
  • 4. Program Design and Layout.srt (8.6 KB)
  • 5. Code pt 1.mp4 (39.5 MB)
  • 5. Code pt 1.srt (7.2 KB)
  • 6. Code pt 2.mp4 (68.0 MB)
  • 6. Code pt 2.srt (11.8 KB)
  • 7. Code pt 3.mp4 (52.0 MB)
  • 7. Code pt 3.srt (7.8 KB)
  • 8. Code pt 4.mp4 (52.5 MB)
  • 8. Code pt 4.srt (8.4 KB)
  • 9. Reinforcement Learning Stock Trader Discussion.mp4 (16.6 MB)
  • 9. Reinforcement Learning Stock Trader Discussion.srt (4.4 KB)
13. Advanced Tensorflow Usage
  • 1. What is a Web Service (Tensorflow Serving pt 1).mp4 (27.8 MB)
  • 1. What is a Web Service (Tensorflow Serving pt 1).srt (7.7 KB)
  • 2. Tensorflow Serving pt 2.mp4 (105.0 MB)
  • 2. Tensorflow Serving pt 2.srt (20.4 KB)
  • 3. Tensorflow Lite (TFLite).mp4 (42.6 MB)
  • 3. Tensorflow Lite (TFLite).srt (11.0 KB)
  • 4. Why is Google the King of Distributed Computing.mp4 (44.9 MB)
  • 4. Why is Google the King of Distributed Computing.srt (11.3 KB)
  • 5. Training with Distributed Strategies.mp4 (43.5 MB)
  • 5. Training with Distributed Strategies.srt (8.5 KB)
  • 6. Using the TPU.mp4 (45.2 MB)
  • 6. Using the TPU.srt (7.0 KB)
  • [Tutorialsplanet.NET].url (0.1 KB)
14. Low-Level Tensorflow
  • 1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4 (38.7 MB)
  • 1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt (12.2 KB)
  • 2. Constants and Basic Computation.mp4 (40.3 MB)
  • 2. Constants and Basic Computation.srt (9.6 KB)
  • 3. Variables and Gradient Tape.mp4 (56.0 MB)
  • 3. Variables and Gradient Tape.srt (13.6 KB)
  • 4. Build Your Own Custom Model.mp4 (58.5 MB)
  • 4. Build Your Own Custom Model.srt (13.3 KB)
15. In-Depth Loss Functions
  • 1. Mean Squared Error.mp4 (33.8 MB)
  • 1. Mean Squared Error.srt (11.2 KB)
  • 2. Binary Cross Entropy.mp4 (23.7 MB)
  • 2. Binary Cross Entropy.srt (7.3 KB)
  • 3. Categorical Cross Entropy.mp4 (31.7 MB)
  • 3. Categorical Cross Entropy.srt (9.6 KB)
16. In-Depth Gradient Descent
  • 1. Gradient Descent.mp4 (34.9 MB)
  • 1. Gradient Descent.srt (9.8 KB)
  • 2. Stochastic Gradient Descent.mp4 (23.0 MB)
  • 2. Stochastic Gradient Descent.srt (5.4 KB)
  • 3. Momentum.mp4 (34.3 MB)
  • 3. Momentum.srt (7.8 KB)
  • 4. Variable and Adaptive Learning Rates.mp4 (34.9 MB)
  • 4. Variable and Adaptive Learning Rates.srt (15.2 KB)
  • 5. Adam (pt 1).mp4 (55.1 MB)
  • 5. Adam (pt 1).srt (16.7 KB)
  • 6. Adam (pt 2).mp4 (52.8 MB)
  • 6. Adam (pt 2).srt (14.5 KB)
17. Extras
  • 1. How to Choose Hyperparameters.mp4 (37.9 MB)
  • 1. How to Choose Hyperparameters.srt (8.7 KB)
  • 2. Where Are The Exercises.mp4 (26.0 MB)
  • 2. Where Are The Exercises.srt (5.4 KB)
  • 3. Links to TF2.0 Notebooks.html (8.1 KB)
  • [Tutorialsplanet.NET].url (0

Description

Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence [TP]

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

What you'll learn

Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
Predict Stock Returns
Time Series Forecasting
Computer Vision
How to build a Deep Reinforcement Learning Stock Trading Bot
GANs (Generative Adversarial Networks)
For more Udemy Courses: https://tutorialsplanet.net



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Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence [TP]


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6.8 GB
seeders:6
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Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence [TP]


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