zhongziso种子搜
首页
功能
磁力转BT
BT转磁力
使用教程
免责声明
关于
zhongziso
搜索
desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_20200804
magnet:?xt=urn:btih:f82104c15bf8957a0753be1dd18163d5f103b112&dn=desire-course.-net-udemy-tensorflow-2.0-deep-learning-and-artificial-intelligence_20200804
磁力链接详情
Hash值:
f82104c15bf8957a0753be1dd18163d5f103b112
点击数:
136
文件大小:
7.02 GB
文件数量:
125
创建日期:
2020-10-28 18:56
最后访问:
2024-3-16 03:22
访问标签:
desire-course
-net-udemy-tensorflow-2
0-deep-learning-and-artificial-intelligence_20200804
文件列表详情
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 86.54 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 78.19 MB
12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.mp4 29.65 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4 56.03 MB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp4 24.07 MB
12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.mp4 29.78 MB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp4 46.84 MB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4 83.4 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4 62.34 MB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4 59.16 MB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp4 18.18 MB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4 55.16 MB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 31.56 MB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.mp4 36.57 MB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4 20.63 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4 66.58 MB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4 46.07 MB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4 42.5 MB
14. Low-Level Tensorflow/2. Constants and Basic Computation.mp4 50.23 MB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4 70.62 MB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4 70.18 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 166.73 MB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 193.99 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 167.3 MB
3. Machine Learning and Neurons/1. What is Machine Learning.mp4 73.16 MB
3. Machine Learning and Neurons/10. Saving and Loading a Model.mp4 35.29 MB
3. Machine Learning and Neurons/11. Suggestion Box.mp4 16.13 MB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4 68.51 MB
3. Machine Learning and Neurons/3. Beginner's Code Preamble.mp4 25.12 MB
3. Machine Learning and Neurons/4. Classification Notebook.mp4 66.31 MB
3. Machine Learning and Neurons/5. Code Preparation (Regression Theory).mp4 31.34 MB
3. Machine Learning and Neurons/6. Regression Notebook.mp4 71.76 MB
3. Machine Learning and Neurons/7. The Neuron.mp4 49.44 MB
3. Machine Learning and Neurons/8. How does a model learn.mp4 55.03 MB
3. Machine Learning and Neurons/9. Making Predictions.mp4 41.96 MB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).mp4 31.57 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 124.47 MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).mp4 42.4 MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.mp4 50.82 MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.mp4 50.06 MB
20. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4 38.93 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 117.08 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 88.15 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 122.65 MB
1. Welcome/1. Introduction.mp4 39.16 MB
1. Welcome/2. Outline.mp4 73.71 MB
1. Welcome/3. Where to get the code.mp4 29.5 MB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4 32.54 MB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4 46.7 MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4 56.45 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 92.18 MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4 46.87 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4 80.86 MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4 56.17 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 58.36 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 83.95 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4 68.74 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4 58.8 MB
16. In-Depth Gradient Descent/1. Gradient Descent.mp4 34.89 MB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4 25.05 MB
16. In-Depth Gradient Descent/3. Momentum.mp4 39.36 MB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4 38.53 MB
16. In-Depth Gradient Descent/5. Adam.mp4 42.58 MB
19. Extra Help With Python Coding for Beginners/1. How to Code Yourself (part 1).mp4 82.13 MB
19. Extra Help With Python Coding for Beginners/2. How to Code Yourself (part 2).mp4 56.42 MB
19. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 77.94 MB
19. Extra Help With Python Coding for Beginners/4. Is Theano Dead.mp4 44.39 MB
7. Natural Language Processing (NLP)/1. Embeddings.mp4 57.97 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4 62.94 MB
7. Natural Language Processing (NLP)/3. Text Preprocessing.mp4 36.15 MB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4 60.56 MB
7. Natural Language Processing (NLP)/5. CNNs for Text.mp4 40.44 MB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.mp4 46.41 MB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp4 37.77 MB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp4 37.58 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4 61.29 MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4 55.71 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4 49.21 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4 37.51 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 97.79 MB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp4 42.99 MB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp4 48.96 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4 20.95 MB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4 43.29 MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4 30.36 MB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 39.03 MB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 52.55 MB
15. In-Depth Loss Functions/1. Mean Squared Error.mp4 37.34 MB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4 23.62 MB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4 35.44 MB
21. Appendix FAQ/1. What is the Appendix.mp4 18.05 MB
21. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.86 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 79.87 MB
5. Convolutional Neural Networks/10. Batch Normalization.mp4 23.46 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 86.36 MB
5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4 25.16 MB
5. Convolutional Neural Networks/3. What is Convolution (part 3).mp4 27.64 MB
5. Convolutional Neural Networks/4. Convolution on Color Images.mp4 77.03 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 90.94 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 86.3 MB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.mp4 51.66 MB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.mp4 34.81 MB
5. Convolutional Neural Networks/9. Data Augmentation.mp4 39.17 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 65.17 MB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.mp4 51.15 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 89.09 MB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4 43.85 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 103.2 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4 50.31 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 77.66 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 143.13 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).mp4 31.51 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).mp4 27.45 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4 80.05 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).mp4 38.2 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4 76.75 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/18. Other Ways to Forecast.mp4 28.33 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4 46.75 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 87.69 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp4 18.27 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 92.05 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.mp4 20.42 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 87.23 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 64.35 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 76.1 MB
其他位置