GigaCourse com Udemy Tensorflow Deep Learning and Artificial Intelligence |
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Name |
[GigaCourse.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence |
DOWNLOAD Copy Link |
Total Size |
7.5 GB |
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Total Files |
247 |
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Last Seen |
2024-10-03 23:29 |
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Hash |
2264DE0C2DC9803F32A6FBF96C997A51F6240F79 |
/1. Welcome/ |
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41.1 MB |
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5.8 KB |
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77.3 MB |
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17.5 KB |
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32.0 MB |
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7.8 KB |
/10. GANs (Generative Adversarial Networks)/ |
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90.7 MB |
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21.2 KB |
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82.0 MB |
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15.2 KB |
/11. Deep Reinforcement Learning (Theory)/ |
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39.6 MB |
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8.8 KB |
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39.4 MB |
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7.6 KB |
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64.3 MB |
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18.3 KB |
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58.4 MB |
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16.8 KB |
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51.6 MB |
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13.5 KB |
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39.3 MB |
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7.8 KB |
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102.5 MB |
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26.8 KB |
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45.1 MB |
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11.6 KB |
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51.3 MB |
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13.0 KB |
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22.0 MB |
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6.4 KB |
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45.4 MB |
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12.8 KB |
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31.8 MB |
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9.1 KB |
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 |
40.9 MB |
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt |
13.0 KB |
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 |
55.1 MB |
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt |
15.2 KB |
/12. Stock Trading Project with Deep Reinforcement Learning/ |
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31.1 MB |
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7.0 KB |
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58.7 MB |
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16.1 KB |
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25.2 MB |
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7.1 KB |
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31.2 MB |
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8.8 KB |
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49.1 MB |
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7.4 KB |
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87.4 MB |
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12.0 KB |
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65.4 MB |
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7.9 KB |
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62.0 MB |
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8.4 KB |
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19.1 MB |
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4.5 KB |
/13. Advanced Tensorflow Usage/ |
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33.1 MB |
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7.9 KB |
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130.5 MB |
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20.9 KB |
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44.4 MB |
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11.3 KB |
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53.3 MB |
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11.5 KB |
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52.5 MB |
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8.7 KB |
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1.8 KB |
/14. Low-Level Tensorflow/ |
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1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4 |
44.6 MB |
1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt |
12.5 KB |
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52.7 MB |
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9.9 KB |
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74.0 MB |
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13.9 KB |
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73.6 MB |
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13.6 KB |
/15. In-Depth Loss Functions/ |
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39.2 MB |
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11.5 KB |
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22.5 MB |
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7.4 KB |
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37.2 MB |
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9.9 KB |
/16. In-Depth Gradient Descent/ |
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36.6 MB |
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10.0 KB |
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26.3 MB |
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5.5 KB |
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41.3 MB |
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8.0 KB |
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40.4 MB |
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15.5 KB |
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44.6 MB |
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13.8 KB |
/17. Extras/ |
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8.0 KB |
/18. Setting up your Environment/ |
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1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
174.8 MB |
1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt |
15.0 KB |
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203.4 MB |
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20.4 KB |
3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 |
175.4 MB |
3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt |
32.8 KB |
/19. Appendix FAQ/ |
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18.9 MB |
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3.8 KB |
10. BONUS Where to get discount coupons and FREE deep learning material.mp4 |
39.7 MB |
10. BONUS Where to get discount coupons and FREE deep learning material.srt |
8.1 KB |
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
122.8 MB |
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt |
32.4 KB |
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86.1 MB |
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22.7 KB |
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59.1 MB |
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13.3 KB |
5. Proof that using Jupyter Notebook is the same as not using it.mp4 |
81.7 MB |
5. Proof that using Jupyter Notebook is the same as not using it.srt |
14.6 KB |
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40.8 MB |
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15.0 KB |
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46.5 MB |
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12.9 KB |
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92.4 MB |
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16.5 KB |
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128.6 MB |
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23.6 KB |
/2. Google Colab/ |
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1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 |
68.3 MB |
1. Intro to Google Colab, how to use a GPU or TPU for free.srt |
14.5 KB |
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53.6 MB |
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9.7 KB |
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93.4 MB |
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12.3 KB |
4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 |
46.0 MB |
4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt |
11.8 KB |
/3. Machine Learning and Neurons/ |
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76.7 MB |
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18.9 KB |
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71.8 MB |
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20.7 KB |
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69.5 MB |
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9.6 KB |
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32.8 MB |
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9.3 KB |
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75.2 MB |
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12.4 KB |
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51.8 MB |
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12.8 KB |
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57.7 MB |
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14.3 KB |
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44.0 MB |
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8.2 KB |
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37.0 MB |
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5.0 KB |
/4. Feedforward Artificial Neural Networks/ |
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34.1 MB |
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8.1 KB |
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51.7 MB |
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12.5 KB |
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59.2 MB |
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11.8 KB |
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96.6 MB |
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23.2 KB |
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49.2 MB |
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11.2 KB |
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84.8 MB |
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16.0 KB |
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58.9 MB |
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16.7 KB |
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61.2 MB |
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10.2 KB |
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88.0 MB |
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13.1 KB |
/5. Convolutional Neural Networks/ |
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87.6 MB |
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20.6 KB |
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24.6 MB |
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6.7 KB |
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90.5 MB |
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13.5 KB |
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26.4 MB |
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7.4 KB |
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29.0 MB |
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8.2 KB |
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80.8 MB |
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21.0 KB |
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95.4 MB |
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28.6 KB |
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90.5 MB |
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20.1 KB |
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54.2 MB |
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8.2 KB |
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36.5 MB |
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5.5 KB |
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41.1 MB |
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11.5 KB |
/6. Recurrent Neural Networks, Time Series, and Sequence Data/ |
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108.2 MB |
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24.6 KB |
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56.2 MB |
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14.7 KB |
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81.4 MB |
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9.8 KB |
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150.1 MB |
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23.6 KB |
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33.0 MB |
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6.1 KB |
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28.8 MB |
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4.3 KB |
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83.9 MB |
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16.1 KB |
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40.0 MB |
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6.7 KB |
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80.5 MB |
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14.8 KB |
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49.5 MB |
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13.0 KB |
3. Autoregressive Linear Model for Time Series Prediction.mp4 |
91.9 MB |
3. Autoregressive Linear Model for Time Series Prediction.srt |
14.6 KB |
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19.2 MB |
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4.7 KB |
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96.5 MB |
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26.2 KB |
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21.4 MB |
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7.3 KB |
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91.5 MB |
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11.5 KB |
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67.5 MB |
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10.1 KB |
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79.8 MB |
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21.6 KB |
/7. Natural Language Processing (NLP)/ |
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60.8 MB |
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16.6 KB |
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66.0 MB |
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17.2 KB |
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37.9 MB |
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6.3 KB |
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63.5 MB |
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10.0 KB |
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42.8 MB |
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9.8 KB |
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48.7 MB |
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6.8 KB |
/8. Recommender Systems/ |
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72.1 MB |
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17.8 KB |
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61.6 MB |
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12.0 KB |
/9. Transfer Learning for Computer Vision/ |
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57.8 MB |
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10.9 KB |
2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 |
33.1 MB |
2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt |
7.5 KB |
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38.3 MB |
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9.0 KB |
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21.6 MB |
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6.1 KB |
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69.8 MB |
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14.1 KB |
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48.3 MB |
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10.7 KB |
/ |
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Total files 247 |
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