Deep learning is fundamentally based on neural networks characterized by multiple layers, which is what distinguishes it from traditional machine learning. The term "deep" specifically refers to the depth of these networks, meaning the number of layers, rather than the overall size of the network or the computing power required. While increased computing power and memory are essential for implementing deep learning effectively, they are not defining features of the concept itself. The complexity introduced by the numerous layers in deep learning models can complicate the interpretability of how these networks derive their conclusions.
#1
cask1
8
0
Is Deep Learning based on Neural Networks (which seem to have been around for decades) and an increase in computing power and memory? Does it utilize very large Neural Networks?
Deep learning is based on Neural Networks that have many layers in the network (see https://en.wikipedia.org/wiki/Deep_learning). The term does not refer to computing power or memory size although both are required to accomplish it. You can study a lot about the theory of deep learning without ever talking about the computer requirements. The "deep" refers to the large number of layers, not necessarily to the overall size of the network. The added layers in the second diagram below is what is meant by "deep". All those layers make it more difficult to understand how the network is arriving at its conclusions when it is working. (from https://quantdare.com/what-is-the-difference-between-deep-learning-and-machine-learning/)
Blender just recently dropped a new version, 4.5(with 5.0 on the horizon), and within it was a new feature for which I immediately thought of a use for. The new feature was a .csv importer for Geometry nodes. Geometry nodes are a method of modelling that uses a node tree to create 3D models which offers more flexibility than straight modeling does. The .csv importer node allows you to bring in a .csv file and use the data in it to control aspects of your model. So for example, if you...
I tried a web search "the loss of programming ", and found an article saying that all aspects of writing, developing, and testing software programs will one day all be handled through artificial intelligence. One must wonder then, who is responsible. WHO is responsible for any problems, bugs, deficiencies, or whatever malfunctions which the programs make their users endure? Things may work wrong however the "wrong" happens. AI needs to fix the problems for the users. Any way to...
I am trying to run an .ipynb file and have installed Miniconda as well as created an environment as such
-conda create -n <env_name> python=3.7 ipykernel jupyter
I am assuming this is successful as I can activate this environment via the anaconda prompt and following command
-conda activate <env_name>
Then I downloaded and installed VS code and I am trying to edit an .ipynb file. I want to select a kernel, via VS Code but when I press the button on the upper right corner I am greeted...