Download Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence torrent

Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence

Torrent:	Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence
Description:	Tensorflow 2.0: Deep Learning and Artificial Intelligence Tensorflow is the world’s most popular library for deep learning, and it’s built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning. Created byLazy Programmer Inc., Lazy Programmer Team Last updated 2/2020 English English [Auto-generated] For More Courses Visit: https://freecourseworld.com
Downloads:	218
Category:	Other /Tutorials
Size:	7 GB
Show Files »	[FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence 1. Welcome 1. Introduction.mp4 (39.2 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 (30.5 MB) 3. Where to get the code.srt (7.6 KB) 10. GANs (Generative Adversarial Networks) 1. GAN Theory.mp4 (86.5 MB) 1. GAN Theory.srt (20.7 KB) 2. GAN Code.mp4 (78.2 MB) 2. GAN Code.srt (14.9 KB) 11. Deep Reinforcement Learning (Theory) 1. Deep Reinforcement Learning Section Introduction.mp4 (37.8 MB) 1. Deep Reinforcement Learning Section Introduction.srt (8.6 KB) 10. Epsilon-Greedy.mp4 (37.6 MB) 10. Epsilon-Greedy.srt (7.4 KB) 11. Q-Learning.mp4 (61.3 MB) 11. Q-Learning.srt (17.9 KB) 12. Deep Q-Learning DQN (pt 1).mp4 (55.7 MB) 12. Deep Q-Learning DQN (pt 1).srt (16.4 KB) 13. Deep Q-Learning DQN (pt 2).mp4 (49.2 MB) 13. Deep Q-Learning DQN (pt 2).srt (13.2 KB) 14. How to Learn Reinforcement Learning.mp4 (37.5 MB) 14. How to Learn Reinforcement Learning.srt (7.6 KB) 2. Elements of a Reinforcement Learning Problem.mp4 (97.8 MB) 2. Elements of a Reinforcement Learning Problem.srt (26.2 KB) 3. States, Actions, Rewards, Policies.mp4 (43.0 MB) 3. States, Actions, Rewards, Policies.srt (11.3 KB) 4. Markov Decision Processes (MDPs).mp4 (49.0 MB) 4. Markov Decision Processes (MDPs).srt (12.7 KB) 5. The Return.mp4 (20.9 MB) 5. The Return.srt (6.3 KB) 6. Value Functions and the Bellman Equation.mp4 (43.3 MB) 6. Value Functions and the Bellman Equation.srt (12.5 KB) 7. What does it mean to “learn”.mp4 (30.3 MB) 7. What does it mean to “learn”.srt (8.9 KB) 8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 (39.0 MB) 8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt (12.7 KB) 9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 (52.5 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 (29.7 MB) 1. Reinforcement Learning Stock Trader Introduction.srt (6.8 KB) 2. Data and Environment.mp4 (56.0 MB) 2. Data and Environment.srt (15.7 KB) 3. Replay Buffer.mp4 (24.1 MB) 3. Replay Buffer.srt (6.9 KB) 4. Program Design and Layout.mp4 (29.8 MB) 4. Program Design and Layout.srt (8.6 KB) 5. Code pt 1.mp4 (46.8 MB) 5. Code pt 1.srt (7.2 KB) 6. Code pt 2.mp4 (83.4 MB) 6. Code pt 2.srt (11.8 KB) 7. Code pt 3.mp4 (62.3 MB) 7. Code pt 3.srt (7.8 KB) 8. Code pt 4.mp4 (59.2 MB) 8. Code pt 4.srt (8.2 KB) 9. Reinforcement Learning Stock Trader Discussion.mp4 (18.2 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 (31.6 MB) 1. What is a Web Service (Tensorflow Serving pt 1).srt (7.7 KB) 2. Tensorflow Serving pt 2.mp4 (124.5 MB) 2. Tensorflow Serving pt 2.srt (20.4 KB) 3. Tensorflow Lite (TFLite).mp4 (42.4 MB) 3. Tensorflow Lite (TFLite).srt (11.0 KB) 4. Why is Google the King of Distributed Computing.mp4 (50.8 MB) 4. Why is Google the King of Distributed Computing.srt (11.3 KB) 5. Training with Distributed Strategies.mp4 (50.1 MB) 5. Training with Distributed Strategies.srt (8.5 KB) 6. Using the TPU.html (1.8 KB) 14. Low-Level Tensorflow 1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4 (42.5 MB) 1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt (12.2 KB) 2. Constants and Basic Computation.mp4 (50.2 MB) 2. Constants and Basic Computation.srt (9.6 KB) 3. Variables and Gradient Tape.mp4 (70.6 MB) 3. Variables and Gradient Tape.srt (13.6 KB) 4. Build Your Own Custom Model.mp4 (70.2 MB) 4. Build Your Own Custom Model.srt (13.3 KB) 15. In-Depth Loss Functions 1. Mean Squared Error.mp4 (37.3 MB) 1. Mean Squared Error.srt (11.2 KB) 2. Binary Cross Entropy.mp4 (21.5 MB) 2. Binary Cross Entropy.srt (7.3 KB) 3. Categorical Cross Entropy.mp4 (35.4 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 (25.0 MB) 2. Stochastic Gradient Descent.srt (5.4 KB) 3. Momentum.mp4 (39.4 MB) 3. Momentum.srt (7.8 KB) 4. Variable and Adaptive Learning Rates.mp4 (38.5 MB) 4. Variable and Adaptive Learning Rates.srt (15.2 KB) 5. Adam.mp4 (42.6 MB) 5. Adam.srt (13.5 KB) 17. Extras 1. Links to TF2.0 Notebooks.html (7.8 KB) 18. Setting up your Environment 1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (166.7 MB) 1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt (14.7 KB) 2. Windows-Focused Environment Setup 2018.mp4 (194.0 MB) 2. Windows-Focused Environment Setup 2018.srt (20.0 KB) 3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 (167.3 MB) 3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt (32.0 KB) 19. Appendix FAQ 1. What is the Appendix.mp4 (18.0 MB) 1. What is the Appendix.srt (3.7 KB) 10. BONUS Whe files
Added:	2020-02-24 11:05:37
Language:	English
Peers:	Seeders : 21 , Leechers : 11
Tags:	Udemy Tensorflow 2.0 Deep Learning Artificial Intelligence
Release name:	Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence
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