Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence

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[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

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
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7 GB
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Udemy - Tensorflow 2.0: Deep Learning and Artificial Intelligence


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