[FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

Torrent Hash:
833CA9039EC9CEFB8075B869555571A7A7BB46FF
Number of Files:
247
Content Size:
6.96GB
Convert On:
2020-02-27
Magnet Link:
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File Name
Size
1. Welcome/1. Introduction.mp4
39.15MB
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1. Welcome/1. Introduction.srt
5.7KB
1. Welcome/2. Outline.mp4
73.7MB
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1. Welcome/2. Outline.srt
17.1KB
1. Welcome/3. Where to get the code.mp4
30.48MB
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1. Welcome/3. Where to get the code.srt
7.6KB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4
86.53MB
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10. GANs (Generative Adversarial Networks)/1. GAN Theory.srt
20.71KB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4
78.19MB
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10. GANs (Generative Adversarial Networks)/2. GAN Code.srt
14.88KB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp4
37.77MB
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11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.srt
8.6KB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp4
37.58MB
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11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.srt
7.42KB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4
61.28MB
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11. Deep Reinforcement Learning (Theory)/11. Q-Learning.srt
17.91KB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4
55.7MB
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11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).srt
16.43KB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4
49.2MB
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11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).srt
13.21KB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4
37.5MB
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11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.srt
7.62KB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4
97.78MB
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11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.srt
26.19KB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp4
42.99MB
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11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.srt
11.32KB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp4
48.96MB
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11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).srt
12.65KB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4
20.94MB
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11. Deep Reinforcement Learning (Theory)/5. The Return.srt
6.26KB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4
43.28MB
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11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.srt
12.51KB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4
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14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt
12.2KB
14. Low-Level Tensorflow/2. Constants and Basic Computation.mp4
50.24MB
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14. Low-Level Tensorflow/2. Constants and Basic Computation.srt
9.63KB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4
70.61MB
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13.58KB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4
70.18MB
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14. Low-Level Tensorflow/4. Build Your Own Custom Model.srt
13.28KB
15. In-Depth Loss Functions/1. Mean Squared Error.mp4
37.34MB
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15. In-Depth Loss Functions/1. Mean Squared Error.srt
11.21KB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4
21.5MB
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15. In-Depth Loss Functions/2. Binary Cross Entropy.srt
7.26KB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4
35.43MB
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15. In-Depth Loss Functions/3. Categorical Cross Entropy.srt
9.62KB
16. In-Depth Gradient Descent/1. Gradient Descent.mp4
34.89MB
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16. In-Depth Gradient Descent/1. Gradient Descent.srt
9.77KB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4
25.05MB
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16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.srt
5.4KB
16. In-Depth Gradient Descent/3. Momentum.mp4
39.35MB
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16. In-Depth Gradient Descent/3. Momentum.srt
7.84KB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4
38.52MB
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16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.srt
15.15KB
16. In-Depth Gradient Descent/5. Adam.mp4
42.57MB
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16. In-Depth Gradient Descent/5. Adam.srt
13.52KB
17. Extras/1. Links to TF2.0 Notebooks.html
7.83KB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
166.72MB
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18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14.69KB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4
193.99MB
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.srt
19.96KB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4
167.29MB
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18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt
32.01KB
19. Appendix FAQ/1. What is the Appendix.mp4
18.04MB
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19. Appendix FAQ/1. What is the Appendix.srt
3.75KB
19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.mp4
37.85MB
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19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.srt
7.87KB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.07MB
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19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
31.63KB
19. Appendix FAQ/3. How to Code Yourself (part 1).mp4
82.12MB
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19. Appendix FAQ/3. How to Code Yourself (part 1).srt
22.13KB
19. Appendix FAQ/4. How to Code Yourself (part 2).mp4
56.41MB
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19. Appendix FAQ/4. How to Code Yourself (part 2).srt
12.98KB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4
77.94MB
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19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.srt
14.22KB
19. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
38.92MB
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19. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt
14.61KB
19. Appendix FAQ/7. Is Theano Dead.mp4
44.38MB
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19. Appendix FAQ/7. Is Theano Dead.srt
12.63KB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4
88.14MB
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19. Appendix FAQ/8. What order should I take your courses in (part 1).srt
16.12KB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4
122.64MB
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19. Appendix FAQ/9. What order should I take your courses in (part 2).srt
23.01KB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
65.17MB
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2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.srt
14.13KB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.mp4
51.14MB
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2. Google Colab/2. Tensorflow 2.0 in Google Colab.srt
9.48KB
2. Google Colab/3. Uploading your own data to Google Colab.mp4
89.09MB
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2. Google Colab/3. Uploading your own data to Google Colab.srt
11.98KB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4
43.85MB
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2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt
11.53KB
3. Machine Learning and Neurons/1. What is Machine Learning.mp4
73.16MB
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3. Machine Learning and Neurons/1. What is Machine Learning.srt
18.45KB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4
68.5MB
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3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).srt
20.26KB
3. Machine Learning and Neurons/3. Classification Notebook.mp4
66.3MB
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3. Machine Learning and Neurons/3. Classification Notebook.srt
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3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).mp4
31.33MB
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3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).srt
9.07KB
3. Machine Learning and Neurons/5. Regression Notebook.mp4
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3. Machine Learning and Neurons/5. Regression Notebook.srt
12.13KB
3. Machine Learning and Neurons/6. The Neuron.mp4
49.43MB
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12.46KB
3. Machine Learning and Neurons/7. How does a model learn.mp4
55.02MB
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4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
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20.12KB
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23.46MB
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6.53KB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4
86.35MB
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13.17KB
5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4
25.15MB
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7.25KB
5. Convolutional Neural Networks/3. What is Convolution (part 3).mp4
27.64MB
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8.01KB
5. Convolutional Neural Networks/4. Convolution on Color Images.mp4
77.02MB
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20.56KB
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90.94MB
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19.65KB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.mp4
51.65MB
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39.16MB
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103.19MB
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6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4
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6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4
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6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4
80.04MB
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6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).srt
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38.19MB
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6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4
76.74MB
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14.42KB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4
47.24MB
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12.73KB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4
87.68MB
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14.23KB
6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp4
18.27MB
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4.56KB
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92.04MB
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25.59KB
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11.21KB
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76.09MB
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21.11KB
7. Natural Language Processing (NLP)/1. Embeddings.mp4
57.96MB
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16.2KB
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62.93MB
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16.82KB
7. Natural Language Processing (NLP)/3. Text Preprocessing.mp4
36.14MB
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6.15KB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4
60.56MB
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9.8KB
7. Natural Language Processing (NLP)/5. CNNs for Text.mp4
40.86MB
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9.57KB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.mp4
46.4MB
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6.63KB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4
68.73MB
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17.4KB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4
58.79MB
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11.7KB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4
55.15MB
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10.66KB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4
31.55MB
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7.29KB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.mp4
36.56MB
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9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.srt
8.8KB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4
20.62MB
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9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.srt
5.96KB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4
66.57MB
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9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).srt
13.76KB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4
46.06MB
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9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).srt
10.43KB
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