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[GigaCourse.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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File Name
Size
1. Welcome/1. Introduction.mp4
39 MB
1. Welcome/1. Introduction.srt
5.7 kB
1. Welcome/2. Outline.mp4
74 MB
1. Welcome/2. Outline.srt
17 kB
1. Welcome/3. Where to get the code.mp4
30 MB
1. Welcome/3. Where to get the code.srt
7.6 kB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4
86 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.srt
21 kB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4
78 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.srt
15 kB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp4
38 MB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.srt
8.6 kB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp4
38 MB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.srt
7.4 kB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4
61 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.srt
18 kB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4
56 MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).srt
16 kB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4
49 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).srt
13 kB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4
38 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.srt
7.6 kB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4
98 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.srt
26 kB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp4
43 MB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.srt
11 kB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp4
49 MB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).srt
13 kB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4
21 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.srt
6.3 kB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4
43 MB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.srt
12 kB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4
30 MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.srt
8.9 kB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4
39 MB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt
13 kB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
52 MB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt
15 kB
12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.mp4
30 MB
12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.srt
6.8 kB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4
56 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.srt
16 kB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp4
24 MB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.srt
6.9 kB
12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.mp4
30 MB
12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.srt
8.6 kB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp4
47 MB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.srt
7.2 kB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4
83 MB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.srt
12 kB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4
62 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.srt
7.8 kB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4
59 MB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.srt
8.2 kB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp4
18 MB
12. Stock Trading Project with Deep Reinforcement Learning/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
32 MB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).srt
7.7 kB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4
124 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.srt
20 kB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).mp4
42 MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).srt
11 kB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.mp4
51 MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.srt
11 kB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.mp4
50 MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.srt
8.5 kB
13. Advanced Tensorflow Usage/6. Using the TPU.html
1.8 kB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4
42 MB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt
12 kB
14. Low-Level Tensorflow/2. Constants and Basic Computation.mp4
50 MB
14. Low-Level Tensorflow/2. Constants and Basic Computation.srt
9.6 kB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4
71 MB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.srt
14 kB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4
70 MB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.srt
13 kB
15. In-Depth Loss Functions/1. Mean Squared Error.mp4
37 MB
15. In-Depth Loss Functions/1. Mean Squared Error.srt
11 kB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4
22 MB
15. In-Depth Loss Functions/2. Binary Cross Entropy.srt
7.3 kB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4
35 MB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.srt
9.6 kB
16. In-Depth Gradient Descent/1. Gradient Descent.mp4
35 MB
16. In-Depth Gradient Descent/1. Gradient Descent.srt
9.8 kB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4
25 MB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.srt
5.4 kB
16. In-Depth Gradient Descent/3. Momentum.mp4
39 MB
16. In-Depth Gradient Descent/3. Momentum.srt
7.8 kB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4
38 MB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.srt
15 kB
16. In-Depth Gradient Descent/5. Adam.mp4
43 MB
16. In-Depth Gradient Descent/5. Adam.srt
14 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
167 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
15 kB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4
194 MB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.srt
20 kB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4
167 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt
32 kB
19. Appendix FAQ/1. What is the Appendix.mp4
18 MB
19. Appendix FAQ/1. What is the Appendix.srt
3.7 kB
19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.mp4
38 MB
19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.srt
7.9 kB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
32 kB
19. Appendix FAQ/3. How to Code Yourself (part 1).mp4
82 MB
19. Appendix FAQ/3. How to Code Yourself (part 1).srt
22 kB
19. Appendix FAQ/4. How to Code Yourself (part 2).mp4
56 MB
19. Appendix FAQ/4. How to Code Yourself (part 2).srt
13 kB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4
78 MB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.srt
14 kB
19. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
39 MB
19. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt
15 kB
19. Appendix FAQ/7. Is Theano Dead.mp4
44 MB
19. Appendix FAQ/7. Is Theano Dead.srt
13 kB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4
88 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).srt
16 kB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4
123 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).srt
23 kB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
65 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.srt
14 kB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.mp4
51 MB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.srt
9.5 kB
2. Google Colab/3. Uploading your own data to Google Colab.mp4
89 MB
2. Google Colab/3. Uploading your own data to Google Colab.srt
12 kB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4
44 MB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt
12 kB
3. Machine Learning and Neurons/1. What is Machine Learning.mp4
73 MB
3. Machine Learning and Neurons/1. What is Machine Learning.srt
18 kB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4
68 MB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).srt
20 kB
3. Machine Learning and Neurons/3. Classification Notebook.mp4
66 MB
3. Machine Learning and Neurons/3. Classification Notebook.srt
9.4 kB
3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).mp4
31 MB
3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).srt
9.1 kB
3. Machine Learning and Neurons/5. Regression Notebook.mp4
72 MB
3. Machine Learning and Neurons/5. Regression Notebook.srt
12 kB
3. Machine Learning and Neurons/6. The Neuron.mp4
49 MB
3. Machine Learning and Neurons/6. The Neuron.srt
12 kB
3. Machine Learning and Neurons/7. How does a model learn.mp4
55 MB
3. Machine Learning and Neurons/7. How does a model learn.srt
14 kB
3. Machine Learning and Neurons/8. Making Predictions.mp4
42 MB
3. Machine Learning and Neurons/8. Making Predictions.srt
8.0 kB
3. Machine Learning and Neurons/9. Saving and Loading a Model.mp4
35 MB
3. Machine Learning and Neurons/9. Saving and Loading a Model.srt
4.9 kB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4
32 MB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.srt
7.9 kB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
49 MB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.srt
12 kB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
56 MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.srt
12 kB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
92 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.srt
23 kB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
47 MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.srt
11 kB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
81 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.srt
16 kB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4
56 MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).srt
16 kB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4
58 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.srt
9.9 kB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4
84 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.srt
13 kB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4
84 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).srt
20 kB
5. Convolutional Neural Networks/10. Batch Normalization.mp4
24 MB
5. Convolutional Neural Networks/10. Batch Normalization.srt
6.5 kB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4
86 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.srt
13 kB
5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4
25 MB
5. Convolutional Neural Networks/2. What is Convolution (part 2).srt
7.2 kB
5. Convolutional Neural Networks/3. What is Convolution (part 3).mp4
28 MB
5. Convolutional Neural Networks/3. What is Convolution (part 3).srt
8.0 kB
5. Convolutional Neural Networks/4. Convolution on Color Images.mp4
77 MB
5. Convolutional Neural Networks/4. Convolution on Color Images.srt
21 kB
5. Convolutional Neural Networks/5. CNN Architecture.mp4
91 MB
5. Convolutional Neural Networks/5. CNN Architecture.srt
28 kB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4
86 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.srt
20 kB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.mp4
52 MB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.srt
8.0 kB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.mp4
35 MB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.srt
5.4 kB
5. Convolutional Neural Networks/9. Data Augmentation.mp4
39 MB
5. Convolutional Neural Networks/9. Data Augmentation.srt
11 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4
103 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.srt
24 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4
54 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).srt
14 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4
78 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.srt
9.6 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4
143 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.srt
23 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).mp4
32 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).srt
6.0 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).mp4
27 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).srt
4.2 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4
80 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).srt
16 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).mp4
38 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).srt
6.5 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4
77 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).srt
14 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4
47 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.srt
13 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4
88 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.srt
14 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp4
18 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.srt
4.6 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4
92 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.srt
26 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.mp4
20 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.srt
7.1 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4
87 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.srt
11 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4
64 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.srt
9.9 kB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4
76 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).srt
21 kB
7. Natural Language Processing (NLP)/1. Embeddings.mp4
58 MB
7. Natural Language Processing (NLP)/1. Embeddings.srt
16 kB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
63 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).srt
17 kB
7. Natural Language Processing (NLP)/3. Text Preprocessing.mp4
36 MB
7. Natural Language Processing (NLP)/3. Text Preprocessing.srt
6.2 kB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4
61 MB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.srt
9.8 kB
7. Natural Language Processing (NLP)/5. CNNs for Text.mp4
41 MB
7. Natural Language Processing (NLP)/5. CNNs for Text.srt
9.6 kB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.mp4
46 MB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.srt
6.6 kB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4
69 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.srt
17 kB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4
59 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.srt
12 kB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4
55 MB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.srt
11 kB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4
32 MB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt
7.3 kB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.mp4
37 MB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.srt
8.8 kB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4
21 MB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.srt
6.0 kB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4
67 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).srt
14 kB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4
46 MB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).srt
10 kB
[GigaCourse.com].url
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