[Tutorialsplanet.NET] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

1. 18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 198.64 MB
2. 18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 171.31 MB
3. 18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 170.72 MB
4. 6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 146.55 MB
5. 13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 127.45 MB
6. 19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 125.58 MB
7. 19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 119.88 MB
8. 6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 105.66 MB
9. 11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 100.13 MB
10. 4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 94.38 MB
11. 6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 94.24 MB
12. 5. Convolutional Neural Networks/5. CNN Architecture.mp4 93.12 MB
13. 2. Google Colab/3. Uploading your own data to Google Colab.mp4 91.23 MB
14. 19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 90.26 MB
15. 6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 89.78 MB
16. 6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 89.31 MB
17. 10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 88.61 MB
18. 5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 88.43 MB
19. 5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 88.37 MB
20. 4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 85.97 MB
21. 5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 85.58 MB
22. 12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4 85.39 MB
23. 19. Appendix FAQ/3. How to Code Yourself (part 1).mp4 84.09 MB
24. 4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4 82.79 MB
25. 6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4 81.96 MB
26. 10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 80.06 MB
27. 19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4 79.81 MB
28. 6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 79.51 MB
29. 5. Convolutional Neural Networks/4. Convolution on Color Images.mp4 78.87 MB
30. 6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4 78.58 MB
31. 6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 77.92 MB
32. 1. Welcome/2. Outline.mp4 75.47 MB
33. 3. Machine Learning and Neurons/1. What is Machine Learning.mp4 74.92 MB
34. 3. Machine Learning and Neurons/5. Regression Notebook.mp4 73.47 MB
35. 14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4 72.30 MB
36. 14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4 71.86 MB
37. 8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4 70.38 MB
38. 3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4 70.14 MB
39. 9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4 68.17 MB
40. 3. Machine Learning and Neurons/3. Classification Notebook.mp4 67.89 MB
41. 2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 66.73 MB
42. 6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 65.89 MB
43. 7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4 64.44 MB
44. 12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4 63.83 MB
45. 11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4 62.75 MB
46. 7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4 62.02 MB
47. 12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4 60.57 MB
48. 8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4 60.20 MB
49. 4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 59.75 MB
50. 7. Natural Language Processing (NLP)/1. Embeddings.mp4 59.35 MB