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种子名称： NCTU's A solid and logical thinking
文件类型： 视频
文件数目： 87个文件
文件大小： 3.38 GB
收录时间： 2017-5-31 00:32
已经下载： 3次
资源热度： 130
最近下载： 2024-5-27 18:43

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NCTU's A solid and logical thinking.torrent

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/078_OPTIONAL - The fog of progress [3 min].mp42.78MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/013_Learning the weights of a logistic output neuron [4 min].mp44.37MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/044_MacKay's quick and dirty method of setting weight costs [4 min].mp44.37MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/070_Deep auto encoders [4 mins].mp44.92MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/017_A brief diversion into cognitive science [4 min].mp45.31MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/021_Why object recognition is difficult [5 min].mp45.37MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/012_The error surface for a linear neuron [5 min].mp45.89MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/009_Why the learning works [5 min].mp45.9MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/004_A simple example of learning [6 min].mp46.57MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/028_Adaptive learning rates for each connection.mp46.63MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/022_Achieving viewpoint invariance [6 min].mp46.89MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/032_A toy example of training an RNN.mp47.24MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/008_A geometrical view of perceptrons [6 min].mp47.32MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/031_Training RNNs with back propagation.mp47.33MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/040_Limiting the size of the weights [6 min].mp47.36MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/018_Another diversion - The softmax output function [7 min].mp48.03MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/048_Making full Bayesian learning practical [7 min].mp48.13MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/074_Shallow autoencoders for pre-training [7 mins].mp48.25MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/047_The idea of full Bayesian learning [7 min].mp48.39MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/041_Using noise as a regularizer [7 min].mp48.48MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/058_An example of RBM learning [7 mins].mp48.71MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/006_Types of neural network architectures [7 min].mp48.78MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/033_Why it is difficult to train an RNN.mp48.89MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/019_Neuro-probabilistic language models [8 min].mp48.93MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/005_Three types of learning [8 min].mp48.96MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/003_Some simple models of neurons [8 min].mp49.26MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/007_Perceptrons - The first generation of neural networks [8 min].mp49.39MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/059_RBMs for collaborative filtering [8 mins].mp49.53MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/025_Overview of mini-batch gradient descent.mp49.6MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/069_From PCA to autoencoders [5 mins].mp49.68MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/049_Dropout [9 min].mp49.69MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/027_The momentum method.mp49.74MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/002_What are neural networks - [8 min].mp49.76MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/072_Semantic Hashing [9 mins].mp49.99MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/066_What happens during discriminative fine-tuning - [8 mins].mp410.17MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/034_Long-term Short-term-memory.mp410.23MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/071_Deep auto encoders for document retrieval [8 mins].mp410.25MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/015_Using the derivatives computed by backpropagation [10 min].mp411.15MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/076_OPTIONAL - Hierarchical Coordinate Frames [10 mins].mp411.16MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/067_Modeling real-valued data with an RBM [10 mins].mp411.2MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/038_Echo State Networks [9 min].mp411.28MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/065_Discriminative learning for DBNs [9 mins].mp411.29MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/052_Hopfield nets with hidden units [10 min].mp411.31MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/073_Learning binary codes for image retrieval [9 mins].mp411.51MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/053_Using stochastic units to improv search [11 min].mp411.76MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/060_The ups and downs of back propagation [10 min].mp411.83MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/042_Introduction to the full Bayesian approach [12 min].mp412MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/043_The Bayesian interpretation of weight decay [11 min].mp412.27MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/057_Restricted Boltzmann Machines [11 min].mp412.68MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/051_Dealing with spurious minima [11 min].mp412.77MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/054_How a Boltzmann machine models data [12 min].mp413.28MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/014_The backpropagation algorithm [12 min].mp413.35MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/011_Learning the weights of a linear neuron [12 min].mp413.52MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/039_Overview of ways to improve generalization [12 min].mp413.57MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/062_Learning sigmoid belief nets [12 min].mp413.59MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/075_OPTIONAL - Learning a joint model of images and captions [10 min].mp413.83MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/037_Learning to predict the next character using HF [12 mins].mp413.92MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/055_Boltzmann machine learning [12 min].mp414.03MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/020_Ways to deal with the large number of possible outputs [15 min].mp414.26MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/016_Learning to predict the next word [13 min].mp414.28MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/050_Hopfield Nets [13 min].mp414.65MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/061_Belief Nets [13 min].mp414.86MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/026_A bag of tricks for mini-batch gradient descent.mp414.9MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/046_Mixtures of Experts [13 min].mp414.98MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/001_Why do we need machine learning - [13 min].mp415.05MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/029_Rmsprop - Divide the gradient by a running average of its recent magnitude.mp415.12MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/045_Why it helps to combine models [13 min].mp415.12MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/063_The wake-sleep algorithm [13 min].mp415.68MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/077_OPTIONAL - Bayesian optimization of hyper-parameters [13 min].mp415.8MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/035_A brief overview of Hessian Free optimization.mp416.24MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/036_Modeling character strings with multiplicative connections [14 mins].mp416.56MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/010_What perceptrons can't do [15 min].mp416.57MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/056_OPTIONAL VIDEO - More efficient ways to get the statistics [15 mins].mp416.93MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/023_Convolutional nets for digit recognition [16 min].mp418.46MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/068_OPTIONAL VIDEO - RBMs are infinite sigmoid belief nets [17 mins].mp419.44MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/064_Learning layers of features by stacking RBMs [17 min].mp420.07MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/030_Modeling sequences - A brief overview.mp420.13MB

NCTU's A solid and logical thinking/Neural Network for Machine Learning/videos/024_Convolutional nets for object recognition [17min].mp423.03MB

NCTU's A solid and logical thinking/逻辑思考与立体思维05.4阶5阶魔方解法.mp4122.3MB

NCTU's A solid and logical thinking/逻辑思考与立体思维03.3阶魔方进阶转法.mp4158.86MB

NCTU's A solid and logical thinking/逻辑思考与立体思维07.Square-1.mp4171.9MB

NCTU's A solid and logical thinking/逻辑思考与立体思维06.三阶魔方盲解.mp4222.46MB

NCTU's A solid and logical thinking/逻辑思考与立体思维01.3阶魔方简易解法.mp4273.03MB

NCTU's A solid and logical thinking/邏輯思考與立體思維09.寓數學於遊戲─萬年曆.mp4380.5MB

NCTU's A solid and logical thinking/逻辑思考与立体思维02.魔术方块简介.mp4403.71MB

NCTU's A solid and logical thinking/邏輯思考與立體思維08.生活數學.mp4407.88MB

NCTU's A solid and logical thinking/逻辑思考与立体思维04.魔方中的数学.mp4432.66MB