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[DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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2020-6-8 20:05
2024-8-21 08:31
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6.98 GB
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DesireCourse
Net
Udemy
-
Tensorflow
2
0
Deep
Learning
and
Artificial
Intelligence
文件列表
1. Welcome/1. Introduction.mp4
39.16MB
1. Welcome/2. Outline.mp4
73.71MB
1. Welcome/3. Where to get the code.mp4
30.2MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4
86.54MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4
78.2MB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp4
37.78MB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp4
37.59MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4
61.29MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4
55.71MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4
49.21MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4
37.51MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4
97.79MB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp4
43MB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp4
48.95MB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4
20.95MB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4
43.28MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4
30.35MB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4
39.04MB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
52.55MB
12. Stock Trading Project with Deep Reinforcement Learning/1. Reinforcement Learning Stock Trader Introduction.mp4
29.66MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4
56.03MB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp4
24.06MB
12. Stock Trading Project with Deep Reinforcement Learning/4. Program Design and Layout.mp4
29.78MB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp4
46.84MB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4
83.4MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4
62.34MB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4
59.16MB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp4
18.18MB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).mp4
31.56MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4
124.47MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).mp4
42.4MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.mp4
50.82MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.mp4
50.07MB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4
42.5MB
14. Low-Level Tensorflow/2. Constants and Basic Computation.mp4
50.24MB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4
70.62MB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4
70.19MB
15. In-Depth Loss Functions/1. Mean Squared Error.mp4
37.35MB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4
23.62MB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4
35.43MB
16. In-Depth Gradient Descent/1. Gradient Descent.mp4
34.89MB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4
25.05MB
16. In-Depth Gradient Descent/3. Momentum.mp4
39.35MB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4
38.53MB
16. In-Depth Gradient Descent/5. Adam.mp4
42.58MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
166.72MB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4
194MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4
167.3MB
19. Appendix FAQ/1. What is the Appendix.mp4
18.04MB
19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.mp4
37.85MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.08MB
19. Appendix FAQ/3. How to Code Yourself (part 1).mp4
82.13MB
19. Appendix FAQ/4. How to Code Yourself (part 2).mp4
56.42MB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4
77.94MB
19. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
38.92MB
19. Appendix FAQ/7. Is Theano Dead.mp4
44.39MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4
88.14MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4
122.65MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
65.17MB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.mp4
51.14MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4
89.09MB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4
43.85MB
3. Machine Learning and Neurons/1. What is Machine Learning.mp4
73.16MB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4
68.51MB
3. Machine Learning and Neurons/3. Classification Notebook.mp4
66.3MB
3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).mp4
31.34MB
3. Machine Learning and Neurons/5. Regression Notebook.mp4
71.75MB
3. Machine Learning and Neurons/6. The Neuron.mp4
49.43MB
3. Machine Learning and Neurons/7. How does a model learn.mp4
55.03MB
3. Machine Learning and Neurons/8. Making Predictions.mp4
41.96MB
3. Machine Learning and Neurons/9. Saving and Loading a Model.mp4
35.29MB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4
32.55MB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
46.69MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
56.45MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
92.18MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
46.87MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
80.86MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4
56.17MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4
58.35MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4
83.96MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4
79.86MB
5. Convolutional Neural Networks/10. Batch Normalization.mp4
23.46MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4
86.35MB
5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4
25.15MB
5. Convolutional Neural Networks/3. What is Convolution (part 3).mp4
27.64MB
5. Convolutional Neural Networks/4. Convolution on Color Images.mp4
77.03MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4
90.94MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4
86.3MB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.mp4
51.66MB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.mp4
34.8MB
5. Convolutional Neural Networks/9. Data Augmentation.mp4
39.17MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4
103.2MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/10. GRU and LSTM (pt 2).mp4
50.31MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4
77.66MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4
143.12MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/13. RNN for Image Classification (Theory).mp4
31.5MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/14. RNN for Image Classification (Code).mp4
27.45MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4
80.05MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 2).mp4
38.2MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4
76.75MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/18. Other Ways to Forecast.mp4
28.33MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4
47.25MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4
87.68MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/4. Proof that the Linear Model Works.mp4
18.27MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4
92.04MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/6. RNN Code Preparation.mp4
20.43MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4
87.23MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4
64.35MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4
76.1MB
7. Natural Language Processing (NLP)/1. Embeddings.mp4
57.97MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
62.93MB
7. Natural Language Processing (NLP)/3. Text Preprocessing.mp4
36.15MB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4
60.57MB
7. Natural Language Processing (NLP)/5. CNNs for Text.mp4
40.6MB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.mp4
46.4MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4
68.73MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4
58.8MB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4
55.16MB
9. Transfer Learning for Computer Vision/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).mp4
31.56MB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.mp4
36.57MB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4
20.63MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4
66.57MB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4
46.07MB
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