[FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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文件数目：247个文件
文件大小：6.96 GB
收录时间：2020-06-02
访问次数：4
相关内容：FreeCourseWorld Udemy Tensorflow Deep Learning Artificial Intelligence

文件meta

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
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
166.72 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4
143.12 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4
124.46 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4
122.64 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.07 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4
103.19 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4
97.78 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4
92.17 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4
92.04 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4
90.94 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4
89.09 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4
88.14 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/7. RNN for Time Series Prediction.mp4
87.22 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4
86.53 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4
86.35 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4
86.3 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
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4
83.39 MB
19. Appendix FAQ/3. How to Code Yourself (part 1).mp4
82.12 MB
4. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4
80.85 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4
80.04 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4
78.19 MB
19. Appendix FAQ/5. Proof that using Jupyter Notebook is the same as not using it.mp4
77.94 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4
77.65 MB
5. Convolutional Neural Networks/4. Convolution on Color Images.mp4
77.02 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/9. GRU and LSTM (pt 1).mp4
76.09 MB
1. Welcome/2. Outline.mp4
73.7 MB
3. Machine Learning and Neurons/1. What is Machine Learning.mp4
73.16 MB
3. Machine Learning and Neurons/5. Regression Notebook.mp4
71.75 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
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4
68.73 MB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4
68.5 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4
66.57 MB
3. Machine Learning and Neurons/3. Classification Notebook.mp4
66.3 MB
2. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4
65.17 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4
64.34 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
62.93 MB
12. Stock Trading Project with Deep Reinforcement Learning/7. Code pt 3.mp4
62.33 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4
61.28 MB
7. Natural Language Processing (NLP)/4. Text Classification with LSTMs.mp4
60.56 MB
12. Stock Trading Project with Deep Reinforcement Learning/8. Code pt 4.mp4
59.15 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4
58.79 MB
4. Feedforward Artificial Neural Networks/8. ANN for Image Classification.mp4
58.35 MB
7. Natural Language Processing (NLP)/1. Embeddings.mp4
57.96 MB