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[DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
大小 6.96 GB
文件数 249
Info Hash: F2F379368645B9C68BF3E53C817168842B105B28
收录时间 2026-01-05 03:43:24
更新时间 2026-01-05 03:43:24
文件列表 (249)
1. Welcome/1. Introduction.mp4
39.15 MB
1. Welcome/1. Introduction.srt
5.7 KB
1. Welcome/2. Outline.mp4
73.7 MB
1. Welcome/2. Outline.srt
17.1 KB
1. Welcome/3. Where to get the code.mp4
30.48 MB
1. Welcome/3. Where to get the code.srt
7.6 KB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4
86.53 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.srt
20.71 KB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4
78.19 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.srt
14.88 KB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.mp4
37.77 MB
11. Deep Reinforcement Learning (Theory)/1. Deep Reinforcement Learning Section Introduction.srt
8.6 KB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.mp4
37.58 MB
11. Deep Reinforcement Learning (Theory)/10. Epsilon-Greedy.srt
7.42 KB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4
61.28 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.srt
17.91 KB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4
55.7 MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).srt
16.43 KB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).mp4
49.2 MB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).srt
13.21 KB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4
37.5 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.srt
7.62 KB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4
97.78 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.srt
26.19 KB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.mp4
42.99 MB
11. Deep Reinforcement Learning (Theory)/3. States, Actions, Rewards, Policies.srt
11.32 KB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).mp4
48.96 MB
11. Deep Reinforcement Learning (Theory)/4. Markov Decision Processes (MDPs).srt
12.65 KB
11. Deep Reinforcement Learning (Theory)/5. The Return.mp4
20.94 MB
11. Deep Reinforcement Learning (Theory)/5. The Return.srt
6.26 KB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.mp4
43.28 MB
11. Deep Reinforcement Learning (Theory)/6. Value Functions and the Bellman Equation.srt
12.51 KB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.mp4
30.35 MB
11. Deep Reinforcement Learning (Theory)/7. What does it mean to “learn”.srt
8.92 KB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4
39.03 MB
11. Deep Reinforcement Learning (Theory)/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt
12.65 KB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
52.54 MB
11. Deep Reinforcement Learning (Theory)/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt
14.88 KB
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/1. Reinforcement Learning Stock Trader Introduction.srt
6.84 KB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.mp4
56.02 MB
12. Stock Trading Project with Deep Reinforcement Learning/2. Data and Environment.srt
15.69 KB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.mp4
24.06 MB
12. Stock Trading Project with Deep Reinforcement Learning/3. Replay Buffer.srt
6.94 KB
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/4. Program Design and Layout.srt
8.64 KB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.mp4
46.83 MB
12. Stock Trading Project with Deep Reinforcement Learning/5. Code pt 1.srt
7.21 KB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4
83.39 MB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.srt
11.75 KB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4
62.33 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.srt
7.75 KB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4
59.15 MB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.srt
8.23 KB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.mp4
18.17 MB
12. Stock Trading Project with Deep Reinforcement Learning/9. Reinforcement Learning Stock Trader Discussion.srt
4.39 KB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).mp4
31.56 MB
13. Advanced Tensorflow Usage/1. What is a Web Service (Tensorflow Serving pt 1).srt
7.71 KB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4
124.46 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.srt
20.42 KB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).mp4
42.39 MB
13. Advanced Tensorflow Usage/3. Tensorflow Lite (TFLite).srt
11.03 KB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.mp4
50.81 MB
13. Advanced Tensorflow Usage/4. Why is Google the King of Distributed Computing.srt
11.26 KB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.mp4
50.06 MB
13. Advanced Tensorflow Usage/5. Training with Distributed Strategies.srt
8.53 KB
13. Advanced Tensorflow Usage/6. Using the TPU.html
1.76 KB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.mp4
42.5 MB
14. Low-Level Tensorflow/1. Differences Between Tensorflow 1.x and Tensorflow 2.x.srt
12.2 KB
14. Low-Level Tensorflow/2. Constants and Basic Computation.mp4
50.24 MB
14. Low-Level Tensorflow/2. Constants and Basic Computation.srt
9.63 KB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4
70.61 MB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.srt
13.58 KB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4
70.18 MB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.srt
13.28 KB
15. In-Depth Loss Functions/1. Mean Squared Error.mp4
37.34 MB
15. In-Depth Loss Functions/1. Mean Squared Error.srt
11.21 KB
15. In-Depth Loss Functions/2. Binary Cross Entropy.mp4
21.5 MB
15. In-Depth Loss Functions/2. Binary Cross Entropy.srt
7.26 KB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.mp4
35.43 MB
15. In-Depth Loss Functions/3. Categorical Cross Entropy.srt
9.62 KB
16. In-Depth Gradient Descent/1. Gradient Descent.mp4
34.89 MB
16. In-Depth Gradient Descent/1. Gradient Descent.srt
9.77 KB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.mp4
25.05 MB
16. In-Depth Gradient Descent/2. Stochastic Gradient Descent.srt
5.4 KB
16. In-Depth Gradient Descent/3. Momentum.mp4
39.35 MB
16. In-Depth Gradient Descent/3. Momentum.srt
7.84 KB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.mp4
38.52 MB
16. In-Depth Gradient Descent/4. Variable and Adaptive Learning Rates.srt
15.15 KB
16. In-Depth Gradient Descent/5. Adam.mp4
42.57 MB
16. In-Depth Gradient Descent/5. Adam.srt
13.52 KB
17. Extras/1. Links to TF2.0 Notebooks.html
7.83 KB
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/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14.69 KB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4
193.99 MB
18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.srt
19.96 KB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4
167.29 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.srt
32.01 KB
19. Appendix FAQ/1. What is the Appendix.mp4
18.04 MB
19. Appendix FAQ/1. What is the Appendix.srt
3.75 KB
19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.mp4
37.85 MB
19. Appendix FAQ/10. BONUS Where to get discount coupons and FREE deep learning material.srt
7.87 KB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.07 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
31.63 KB
19. Appendix FAQ/3. How to Code Yourself (part 1).mp4
82.12 MB
19. Appendix FAQ/3. How to Code Yourself (part 1).srt
22.13 KB
19. Appendix FAQ/4. How to Code Yourself (part 2).mp4
56.41 MB
19. Appendix FAQ/4. How to Code Yourself (part 2).srt
12.98 KB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4
77.94 MB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.srt
14.22 KB
19. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
38.92 MB
19. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt
14.61 KB
19. Appendix FAQ/7. Is Theano Dead.mp4
44.38 MB
19. Appendix FAQ/7. Is Theano Dead.srt
12.63 KB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4
88.14 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).srt
16.12 KB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4
122.64 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).srt
23.01 KB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
65.17 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.srt
14.13 KB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.mp4
51.14 MB
2. Google Colab/2. Tensorflow 2.0 in Google Colab.srt
9.48 KB
2. Google Colab/3. Uploading your own data to Google Colab.mp4
89.09 MB
2. Google Colab/3. Uploading your own data to Google Colab.srt
11.98 KB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4
43.85 MB
2. Google Colab/4. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.srt
11.53 KB
3. Machine Learning and Neurons/1. What is Machine Learning.mp4
73.16 MB
3. Machine Learning and Neurons/1. What is Machine Learning.srt
18.45 KB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4
68.5 MB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).srt
20.26 KB
3. Machine Learning and Neurons/3. Classification Notebook.mp4
66.3 MB
3. Machine Learning and Neurons/3. Classification Notebook.srt
9.4 KB
3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).mp4
31.33 MB
3. Machine Learning and Neurons/4. Code Preparation (Regression Theory).srt
9.07 KB
3. Machine Learning and Neurons/5. Regression Notebook.mp4
71.75 MB
3. Machine Learning and Neurons/5. Regression Notebook.srt
12.13 KB
3. Machine Learning and Neurons/6. The Neuron.mp4
49.43 MB
3. Machine Learning and Neurons/6. The Neuron.srt
12.46 KB
3. Machine Learning and Neurons/7. How does a model learn.mp4
55.02 MB
3. Machine Learning and Neurons/7. How does a model learn.srt
14 KB
3. Machine Learning and Neurons/8. Making Predictions.mp4
41.95 MB
3. Machine Learning and Neurons/8. Making Predictions.srt
7.99 KB
3. Machine Learning and Neurons/9. Saving and Loading a Model.mp4
35.29 MB
3. Machine Learning and Neurons/9. Saving and Loading a Model.srt
4.93 KB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.mp4
32.54 MB
4. Feedforward Artificial Neural Networks/1. Artificial Neural Networks Section Introduction.srt
7.9 KB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.mp4
49.32 MB
4. Feedforward Artificial Neural Networks/2. Forward Propagation.srt
12.23 KB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4
56.45 MB
4. Feedforward Artificial Neural Networks/3. The Geometrical Picture.srt
11.51 KB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
92.17 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.srt
22.64 KB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4
46.88 MB
4. Feedforward Artificial Neural Networks/5. Multiclass Classification.srt
10.98 KB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
80.85 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.srt
15.6 KB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).mp4
56.16 MB
4. Feedforward Artificial Neural Networks/7. Code Preparation (ANN).srt
16.3 KB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4
58.35 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.srt
9.93 KB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4
83.95 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.srt
12.78 KB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4
83.58 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).srt
20.12 KB
5. Convolutional Neural Networks/10. Batch Normalization.mp4
23.46 MB
5. Convolutional Neural Networks/10. Batch Normalization.srt
6.53 KB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4
86.35 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.srt
13.17 KB
5. Convolutional Neural Networks/2. What is Convolution (part 2).mp4
25.15 MB
5. Convolutional Neural Networks/2. What is Convolution (part 2).srt
7.25 KB
5. Convolutional Neural Networks/3. What is Convolution (part 3).mp4
27.64 MB
5. Convolutional Neural Networks/3. What is Convolution (part 3).srt
8.01 KB
5. Convolutional Neural Networks/4. Convolution on Color Images.mp4
77.02 MB
5. Convolutional Neural Networks/4. Convolution on Color Images.srt
20.56 KB
5. Convolutional Neural Networks/5. CNN Architecture.mp4
90.94 MB
5. Convolutional Neural Networks/5. CNN Architecture.srt
27.89 KB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4
86.3 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.srt
19.65 KB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.mp4
51.65 MB
5. Convolutional Neural Networks/7. CNN for Fashion MNIST.srt
7.99 KB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.mp4
34.8 MB
5. Convolutional Neural Networks/8. CNN for CIFAR-10.srt
5.38 KB
5. Convolutional Neural Networks/9. Data Augmentation.mp4
39.16 MB
5. Convolutional Neural Networks/9. Data Augmentation.srt
11.24 KB
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/1. Sequence Data.srt
24.02 KB
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/10. GRU and LSTM (pt 2).srt
14.39 KB
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/11. A More Challenging Sequence.srt
9.6 KB
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/12. Demo of the Long Distance Problem.srt
23.06 KB
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/13. RNN for Image Classification (Theory).srt
5.99 KB
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/14. RNN for Image Classification (Code).srt
4.19 KB
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/15. Stock Return Predictions using LSTMs (pt 1).srt
15.71 KB
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/16. Stock Return Predictions using LSTMs (pt 2).srt
6.5 KB
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/17. Stock Return Predictions using LSTMs (pt 3).srt
14.42 KB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.mp4
47.24 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/2. Forecasting.srt
12.73 KB
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/3. Autoregressive Linear Model for Time Series Prediction.srt
14.23 KB
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/4. Proof that the Linear Model Works.srt
4.56 KB
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/5. Recurrent Neural Networks.srt
25.59 KB
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/6. RNN Code Preparation.srt
7.14 KB
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/7. RNN for Time Series Prediction.srt
11.21 KB
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/8. Paying Attention to Shapes.srt
9.88 KB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4
76.09 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).srt
21.11 KB
7. Natural Language Processing (NLP)/1. Embeddings.mp4
57.96 MB
7. Natural Language Processing (NLP)/1. Embeddings.srt
16.2 KB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
62.93 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).srt
16.82 KB
7. Natural Language Processing (NLP)/3. Text Preprocessing.mp4
36.14 MB
7. Natural Language Processing (NLP)/3. Text Preprocessing.srt
6.15 KB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4
60.56 MB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.srt
9.8 KB
7. Natural Language Processing (NLP)/5. CNNs for Text.mp4
40.86 MB
7. Natural Language Processing (NLP)/5. CNNs for Text.srt
9.57 KB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.mp4
46.4 MB
7. Natural Language Processing (NLP)/6. Text Classification with CNNs.srt
6.63 KB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4
68.73 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.srt
17.4 KB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4
58.79 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.srt
11.7 KB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4
55.15 MB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.srt
10.66 KB
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/2. Some Pre-trained Models (VGG, ResNet, Inception, MobileNet).srt
7.29 KB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.mp4
36.56 MB
9. Transfer Learning for Computer Vision/3. Large Datasets and Data Generators.srt
8.8 KB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.mp4
20.62 MB
9. Transfer Learning for Computer Vision/4. 2 Approaches to Transfer Learning.srt
5.96 KB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4
66.57 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).srt
13.76 KB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).mp4
46.06 MB
9. Transfer Learning for Computer Vision/6. Transfer Learning Code (pt 2).srt
10.43 KB
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