Appendix: An Example of Back-propagation algorithmxxxwwwwwwwwwww
定义RNN的参数 X = [1,2] state = [0.0, 0.0] # 这里初始state是[0.0, 0.0],开始循环以后会更新 # 分开定义不同输入部分的权重以方便操作 w_cell_state = np.asarray([[0.1, 0.2], [0.3, 0.4]]) w_cell_input = np.asarray([0.5, 0.6]) b_cell = np.asarray([0.1, -0.1]) # 定义...
In particular, I spent a lot of time on backpropagation. There are a good deal of sites explaining the formulas and proofs for backpropagation, but surprisingly few that worked through any examples with real numbers. The best was Matt Mazur’s post, but it left out the handling of biases...
Approximate counting algorithm : Allows counting large number of events in a small register Average-linkage clustering : a simple agglomerative clustering algorithm Backpropagation : A supervised learning method which requires a teacher that knows, or can calculate, the desired output for any given inpu...
On each step the number of non-zero coefficients decreases and in the end we have a completely observed state, the wave function has collapsed. It may happen that during propagation all the coefficients for a certain pixel become zero. That means that the algorithm has run into a contradiction...
Lloyd's algorithm The goal of k-means clustering in this case study The Python program 1– The training dataset 2– Hyperparameters 3– The k-means clustering algorithm 4– Defining the result labels 5– Displaying the results – data points and clusters Test dataset and prediction Analyzing an...
Capacity of a single neuron Biological motivation and connections Activation functions Sigmoid Tanh ReLU Feed-forward neural network The need for multilayer networks Training our MLP – the backpropagation algorithm Step 1 – forward propagation Step 2 – backpropagation and weight updation TensorFlow term...
Based on a deep learning network framework, the combined model is reformulated as a multi-layer computational graph model and then is solved by the back propagation algorithm using heterogeneous data sources layer by layer. Second, we use a cumulative flow count diagram to capture the variation ...
In this case error handling could be carried out by wrapping in another function as suggested byViz, the n = INT(n) condition is not iterated then. In general there will be the performance/error propagation considerations you mention so better to avoid adding extra conditions inside recursive ...
Berryman J G. 1980b. Long-wavelength propagation in composite elastic media Ⅱ. Ellipsoida inclusions. The Journal of the Acoustical Society of America, 68(6):1820-1831. doi: 10.1121/1.385172. Google Scholar [9] Brown R J S, Korringa J. 1975. On the dependence of the elastic properties ...