CoCalc -- Chapter

GitHub Repository: packtpublishing/machine-learning-for-algorithmic-trading-second-edition
Path: tree/master/figures/Chapter_18
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Name	Size	Last Modified
Figure 18.1 - The result of basic edge filters applied to an image.png	578.8 KB
Figure 18.10 - Ten types of land use contained in the dataset.png	146.3 KB
Figure 18.11 - Cross-validation performance.png	39.1 KB
Figure 18.12 - Cropped sample images of the SVHN dataset.png	217.8 KB
Figure 18.13 - Cross-validation performance.png	37.6 KB
Figure 18.14 - Information coefficient with respect to forward return by lag.png	39.6 KB
Figure 18.15 - (Biased) out-of-sample information coefficients for best epochs.png	209.7 KB
Figure 18.16 - Technical indicators.png	52.9 KB
Figure 18.17 - Mutual information and two-dimensional grid layout for time series.png	29.4 KB
Figure 18.18 - Dendrograms for row and column features.png	92.7 KB
Figure 18.19 - Alphalens signal quality evaluation.png	17 KB
Figure 18.2 - Typical operations in a two-dimensional convolutional layer.png	54.9 KB
Figure 18.20 - Backtest performance in- and out-of-sample.png	348.3 KB
Figure 18.3 - From convolutions to a feature map.png	15.4 KB
Figure 18.4 - Predictive performance and computational complexity.png	255.4 KB
Figure 18.5 - MNIST sample images.png	133.5 KB
Figure 18.6 - Original and augmented samples.png	285.8 KB
Figure 18.7 - Validation performance and test accuracy on CIFAR-10.png	128.9 KB
Figure 18.8 - The VGG16 architecture.png	28.7 KB
Figure 18.9 - Cross-validation performance accuracy and cross-entropy loss.png	36.5 KB