CNN's Richard Quest has the day's top business headlines after the Closing Bell on Wall Street. (December 10, 2019)
BING NEWS:
- Arrowheads reveal the presence of a mysterious army in Europe’s oldest battle
This week, uncover who fought on Europe’s oldest battlefield, explore giant jets blasting from a black hole, meet a fish that can “taste” with its legs, and more.
09/28/2024 - 4:10 am | View Link - NBA All-Star Karl-Anthony Towns reportedly heading to New York, All-Star Julius Randle to Minnesota
Anthony Towns is reportedly heading to the Big Apple, three-time All-Star Julius Randle moving to the Twin Cities.
09/28/2024 - 4:07 am | View Link - Manhunt underway after 17 people killed in South Africa mass shooting
A manhunt is on after 17 people living on the same street in a South African village were killed in a mass shooting, police said Saturday.
09/28/2024 - 3:42 am | View Link - What it’s like to debate JD Vance and Tim Walz
CNN’s Michael Smerconish is joined by Former Ohio Senate Candidate Tim Ryan and Former Minnesota Senator Dr. Scott Jensen to talk about what it’s like debating vice president nominees JD Vance and Tim ...
09/28/2024 - 2:59 am | View Link - Hezbollah confirms leader Hassan Nasrallah killed in Israeli strike
Israel conducted strikes in Lebanon’s capital of Beirut Friday to target Hezbollah leader Hassan Nasrallah. Six people were killed as rescuers continue to search for victims. Follow for live news ...
09/28/2024 - 2:04 am | View Link - More
- What is the difference between CNN-LSTM and RNN?
So let's just focus on the CNN part in CNN-LSTM. What's the difference between a plain RNN and a CNN-RNN, (more generally called convolutional RNN or ConvRNN)? The equations which define a vanilla RNN are (I'm omitting a bias term for clarity):
09/27/2024 - 1:23 pm | View Link - deep learning
In a CNN (such as Google's Inception network), bottleneck layers are added to reduce the number of feature maps (aka channels) in the network, which, otherwise, tend to increase in each layer. This is achieved by using 1x1 convolutions with fewer output channels than input channels.
09/27/2024 - 9:34 am | View Link - neural networks
Where A and B are a a pos, negative pair and then the Feature Generation Block is a CNN architecture which outputs a feature vector for each image (cut off the softmax) and then the network tried to maximise the regression loss between the two images.
09/26/2024 - 6:32 pm | View Link - What is the difference between a convolutional neural network and a ...
A CNN, in specific, has one or more layers of convolution units. A convolution unit receives its input from multiple units from the previous layer which together create a proximity. Therefore, the input units (that form a small neighborhood) share their weights. The convolution units (as well as pooling units) are especially beneficial as:
09/26/2024 - 6:18 pm | View Link - deep learning
This is the same thing as in CNNs. The only difference is that, in CNNs, the kernels are the learnable (or trainable) parameters, i.e. they change during training so that the overall loss (that the CNN is making) reduces (in the case CNNs are trained with gradient descent and back-propagation).
09/26/2024 - 4:02 pm | View Link - More
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MoviesWithButter : Our Sister Site
- "Expendables 4" Starts Shooting This Fall, Says Randy Couture at the Arnold Sports Festival more
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- Yen Targets "Ip Man 4" for 2018 Release; Discusses Film with Director, Producer more
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