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- 【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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收录时间:2022-01-11
文档个数:246
文档大小:7.2 GB
最近下载:2025-02-06
人气:42
磁力链接
18. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB- 18. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
- 13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
- 18. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 128.6 MB
- 18. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
- 11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
- 4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
- 5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
- 2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
- 18. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.4 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
- 10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
- 5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
- 5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
- 4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
- 5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 87.6 MB
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- 【影视】 [UdemyCourseDownloader] Deep Learning with TensorFlow 2.0 [2019]
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收录时间:2024-10-31
文档个数:299
文档大小:2.1 GB
最近下载:2025-04-13
人气:7
磁力链接
- 14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
- 01. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
- 13. Business case/4. Preprocessing the data.mp4 96.5 MB
- 13. Business case/1. Exploring the dataset and identifying predictors.mp4 82.0 MB
- 13. Business case/9. Setting an early stopping mechanism.mp4 56.0 MB
- 14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
- 14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
- 12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 48.2 MB
- 12. The MNIST example/10. Learning.mp4 46.6 MB
- 03. Setting up the working environment/9. Installing TensorFlow 2.mp4 45.0 MB
- 03. Setting up the working environment/2. Why Python and why Jupyter.mp4 43.0 MB
- 02. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
- 05. TensorFlow - An introduction/1. TensorFlow outline.mp4 40.2 MB
- 02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
- 05. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 40.1 MB
- 14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
- 13. Business case/3. Balancing the dataset.mp4 36.9 MB
- 03. Setting up the working environment/4. Installing Anaconda.mp4 36.6 MB
- 13. Business case/8. Learning and interpreting the result.mp4 36.3 MB
- 14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
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