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[DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
magnet:?xt=urn:btih:f2f379368645b9c68bf3e53c817168842b105b28&dn=[DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
磁力链接详情
Hash值:
f2f379368645b9c68bf3e53c817168842b105b28
点击数:
111
文件大小:
6.96 GB
文件数量:
122
创建日期:
2020-2-28 18:24
最后访问:
2024-7-21 16:33
访问标签:
DesireCourse
Net
Udemy
-
Tensorflow
2
0
Deep
Learning
and
Artificial
Intelligence
文件列表详情
1. Welcome/1. Introduction.mp4 39.15 MB
1. Welcome/2. Outline.mp4 73.7 MB
1. Welcome/3. Where to get the code.mp4 30.48 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 86.53 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 78.19 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 61.28 MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4 55.7 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4 49.2 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4 37.5 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 97.78 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 20.94 MB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4 43.28 MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4 30.35 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 52.54 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 56.02 MB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp4 24.06 MB
12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.mp4 29.77 MB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp4 46.83 MB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4 83.39 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4 62.33 MB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4 59.15 MB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp4 18.17 MB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).mp4 31.56 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 124.46 MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).mp4 42.39 MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.mp4 50.81 MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.mp4 50.06 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 50.24 MB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4 70.61 MB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4 70.18 MB
15. In-Depth Loss Functions/1. Mean Squared Error.mp4 37.34 MB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4 21.5 MB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4 35.43 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 39.35 MB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4 38.52 MB
16. In-Depth Gradient Descent/5. Adam.mp4 42.57 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 166.72 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 167.29 MB
19. Appendix FAQ/1. What is the Appendix.mp4 18.04 MB
19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.85 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 117.07 MB
19. Appendix FAQ/3. How to Code Yourself (part 1).mp4 82.12 MB
19. Appendix FAQ/4. How to Code Yourself (part 2).mp4 56.41 MB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4 77.94 MB
19. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4 38.92 MB
19. Appendix FAQ/7. Is Theano Dead.mp4 44.38 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 88.14 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 122.64 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 51.14 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
3. Machine Learning and Neurons/1. What is Machine Learning.mp4 73.16 MB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4 68.5 MB
3. Machine Learning and Neurons/3. Classification Notebook.mp4 66.3 MB
3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).mp4 31.33 MB
3. Machine Learning and Neurons/5. Regression Notebook.mp4 71.75 MB
3. Machine Learning and Neurons/6. The Neuron.mp4 49.43 MB
3. Machine Learning and Neurons/7. How does a model learn.mp4 55.02 MB
3. Machine Learning and Neurons/8. Making Predictions.mp4 41.95 MB
3. Machine Learning and Neurons/9. Saving and Loading a Model.mp4 35.29 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 49.32 MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4 56.45 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 92.17 MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4 46.88 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4 80.85 MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4 56.16 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4 58.35 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 83.95 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.58 MB
5. Convolutional Neural Networks/10. Batch Normalization.mp4 23.46 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 86.35 MB
5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4 25.15 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 77.02 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 51.65 MB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.mp4 34.8 MB
5. Convolutional Neural Networks/9. Data Augmentation.mp4 39.16 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 103.19 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4 53.58 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 77.65 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 143.12 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).mp4 31.5 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).mp4 27.44 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4 80.04 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).mp4 38.19 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4 76.74 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4 47.24 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 87.68 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 92.04 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 87.22 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 64.34 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 76.09 MB
7. Natural Language Processing (NLP)/1. Embeddings.mp4 57.96 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4 62.93 MB
7. Natural Language Processing (NLP)/3. Text Preprocessing.mp4 36.14 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 40.86 MB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.mp4 46.4 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4 68.73 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4 58.79 MB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4 55.15 MB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4 31.55 MB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.mp4 36.56 MB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4 20.62 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4 66.57 MB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4 46.06 MB
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