- 【安装包】 Adobe Photoshop 2022 v23.5.0.669 (x64) Portable + Plugins + Neural Filters
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- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/10 Project I_ Book Writer/006 Modling RNN Model Text Generation.mp4 76.1 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/05 Gradient Decsent in RNN/008 BackPropagation Through Time.mp4 74.6 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/03 DNN Overview/002 Neuron and Perceptron.mp4 74.4 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/12 Further Readings and Resourses/001 Further Readings and Resourses 1.mp4 73.7 MB
- [TutsNode.com] - Deep Learning Recurrent Neural Networks with Python/11 Project II_ Stock Price Prediction/002 Data Set.mp4 66.9 MB
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- 0701 Modeling sequences_ A brief overview.mp4 21.1 MB
- 1401 Learning layers of features by stacking RBMs.mp4 21.0 MB
- 1405 OPTIONAL VIDEO_ RBMs are infinite sigmoid belief nets.mp4 20.4 MB
- 0503 Convolutional nets for digit recognition.mp4 19.4 MB
- 1202 OPTIONAL VIDEO_ More efficient ways to get the statistics.mp4 17.8 MB
- 0205 What perceptrons can_t do.mp4 17.4 MB
- 0802 Modeling character strings with multiplicative connections.mp4 17.4 MB
- 0801 A brief overview of Hessian Free optimization.mp4 17.0 MB
- 1603 OPTIONAL_ Bayesian optimization of hyper-parameters.mp4 16.6 MB
- 1304 The wake-sleep algorithm.mp4 16.4 MB
- 1001 Why it helps to combine models.mp4 15.9 MB
- 0605 Rmsprop_ Divide the gradient by a running average of its recent magnitude.mp4 15.9 MB
- 0101 Why do we need machine learning_.mp4 15.8 MB
- 1002 Mixtures of Experts.mp4 15.7 MB
- 0602 A bag of tricks for mini-batch gradient descent.mp4 15.6 MB
- 1302 Belief Nets.mp4 15.6 MB
- 1101 Hopfield Nets.mp4 15.4 MB
- 0401 Learning to predict the next word.mp4 15.0 MB
- 0405 Ways to deal with the large number of possible outputs.mp4 14.9 MB
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