GetFreeCourses.Co-Udemy-Tensorflow 2.0 Deep Learning and Artificial Intelligence

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文件数目：277个文件
文件大小：6.83 GB
收录时间：2023-05-21
访问次数：4
相关内容：GetFreeCourses Deep Learning Artificial Intelligence

文件meta

18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4
180.9 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4
167.3 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
150.59 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4
124.05 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
108.17 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
105.61 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4
104.99 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4
98.59 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4
90.15 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4
87.16 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4
83 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4
80.58 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4
80.54 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4
79.86 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4
79.77 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
79.71 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4
78.3 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4
76.88 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4
75.71 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4
74.07 MB
1. Welcome/2. Outline.mp4
73.67 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4
73.59 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4
72.91 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code Yourself (part 1).mp4
71.85 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4
71.7 MB
4. Feedforward Artificial Neural Networks/7. How to Represent Images.mp4
70.46 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4
69.45 MB
5. Convolutional Neural Networks/4. Convolution on Color Images.mp4
69.44 MB
4. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4
69.27 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4
68.66 MB
4. Feedforward Artificial Neural Networks/2. Beginners Rejoice The Math in This Course is Optional.mp4
68.52 MB
12. Stock Trading Project with Deep Reinforcement Learning/6. Code pt 2.mp4
68 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/17. Stock Return Predictions using LSTMs (pt 3).mp4
67.34 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/15. Stock Return Predictions using LSTMs (pt 1).mp4
67.11 MB
9. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4
66.52 MB
3. Machine Learning and Neurons/1. What is Machine Learning.mp4
65.5 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4
64.65 MB
1. Welcome/3. Where to get the code.mp4
62.91 MB
11. Deep Reinforcement Learning (Theory)/11. Q-Learning.mp4
61.83 MB
3. Machine Learning and Neurons/2. Code Preparation (Classification Theory).mp4
59.8 MB
8. Recommender Systems/2. Recommender Systems with Deep Learning Code.mp4
58.81 MB
14. Low-Level Tensorflow/4. Build Your Own Custom Model.mp4
58.55 MB
3. Machine Learning and Neurons/5. Regression Notebook.mp4
57.47 MB
7. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4
57.04 MB
4. Feedforward Artificial Neural Networks/4. The Geometrical Picture.mp4
56.43 MB
11. Deep Reinforcement Learning (Theory)/12. Deep Q-Learning DQN (pt 1).mp4
56.27 MB
14. Low-Level Tensorflow/3. Variables and Gradient Tape.mp4
56.05 MB
9. Transfer Learning for Computer Vision/1. Transfer Learning Theory.mp4
55.13 MB
16. In-Depth Gradient Descent/5. Adam (pt 1).mp4
55.12 MB
3. Machine Learning and Neurons/3. Classification Notebook.mp4
54.54 MB