Presentation is loading. Please wait.

Presentation is loading. Please wait.

Fig. 2 Visualization of features.

Published bySvend Østergaard Modified over 5 years ago

Similar presentations

Presentation on theme: "Fig. 2 Visualization of features."— Presentation transcript:

1 Fig. 2 Visualization of features.
Visualization of features. By column: Four different convolutional filters (which identify, from left to right, features corresponding to urban areas, nonurban areas, water, and roads) in the convolutional neural network model used for extracting features. Each filter “highlights” the parts of the image that activate it, shown in pink. By row: Original daytime satellite images from Google Static Maps, filter activation maps, and overlay of activation maps onto original images Neal Jean et al. Science 2016;353: Copyright © 2016, American Association for the Advancement of Science

Download ppt "Fig. 2 Visualization of features."

Similar presentations

Demonstrations I, II, and III.

Demonstrations I, II, and III.
Principles of using neural networks for predicting molecular traits from DNA sequence Principles of using neural networks for predicting molecular traits.

Principles of using neural networks for predicting molecular traits from DNA sequence Principles of using neural networks for predicting molecular traits.
CsEN components reveal precisely timed cellular programs that characterize the dynamic changes of the peripheral immune system over the course of pregnancy.

CsEN components reveal precisely timed cellular programs that characterize the dynamic changes of the peripheral immune system over the course of pregnancy.
Fibroblast activation in WT and NFATc2-deficient mice.

Fibroblast activation in WT and NFATc2-deficient mice.
Combining satellite imagery and machine learning to predict poverty

Combining satellite imagery and machine learning to predict poverty
Self-folding triangular devices at two scales.

Self-folding triangular devices at two scales.
Comparing previous simulation work with current study.

Comparing previous simulation work with current study.
Examples of AEGIS autonomous target selection.

Examples of AEGIS autonomous target selection.
Fig. 1 Biomass over time of C3 grasses and C4 grasses at ambient and elevated CO2. Biomass over time of C3 grasses and C4 grasses at ambient and elevated.

Fig. 1 Biomass over time of C3 grasses and C4 grasses at ambient and elevated CO2. Biomass over time of C3 grasses and C4 grasses at ambient and elevated.
Fig. 1 Examples of fairy circles and spatial patterns in Mediterranean seagrass meadows. Examples of fairy circles and spatial patterns in Mediterranean.

Fig. 1 Examples of fairy circles and spatial patterns in Mediterranean seagrass meadows. Examples of fairy circles and spatial patterns in Mediterranean.
Fig. 2 CFD results. CFD results. Results of CFD simulations in horizontal (left column) and vertical (right column) cross-sections. All models oriented.

Fig. 2 CFD results. CFD results. Results of CFD simulations in horizontal (left column) and vertical (right column) cross-sections. All models oriented.
Fig. 7 Bacterial dependency networks in IgA deficiency and HDs.

Fig. 7 Bacterial dependency networks in IgA deficiency and HDs.
Source-based CP BCI robotic arm control.

Source-based CP BCI robotic arm control.
Fig. 2 Box plots of water use with lateral lengths.

Fig. 2 Box plots of water use with lateral lengths.
Fig. 3 Performance of HoloConvNet.

Fig. 3 Performance of HoloConvNet.
Fig. 2 The polarized Skillscape explains occupational wage polarization and economic well-being of urban workforces. The polarized Skillscape explains.

Fig. 2 The polarized Skillscape explains occupational wage polarization and economic well-being of urban workforces. The polarized Skillscape explains.
Fig. 1 Map of water stress and shale plays.

Fig. 1 Map of water stress and shale plays.
Fig. 3 Tracing Poynting flux along Polar’s orbit during a period of 28 days, which includes a moderate storm and a major storm. Tracing Poynting flux along.

Fig. 3 Tracing Poynting flux along Polar’s orbit during a period of 28 days, which includes a moderate storm and a major storm. Tracing Poynting flux along.
Fig. 1 Comparison of experimental and simulated NMR relaxation rates at 278 to 298 K. Comparison of experimental and simulated NMR relaxation rates at.

Fig. 1 Comparison of experimental and simulated NMR relaxation rates at 278 to 298 K. Comparison of experimental and simulated NMR relaxation rates at.
Details of an implementation of a mechanism within the control chambers for selective lengthening of the sides of the soft robot. Details of an implementation.

Details of an implementation of a mechanism within the control chambers for selective lengthening of the sides of the soft robot. Details of an implementation.

Similar presentations

Ads by Google