DEEP LEARNING ALGORITHM 中文是什么意思 - 中文翻译

• 深度学习算法

在 英语 中使用 Deep learning algorithm 的示例及其翻译为 中文

Stanford is using a deep learning algorithm to identify skin cancer.
斯坦福正在使用深度学习算法来识别皮肤癌。

Even simple human behaviors are laborious to teach to a deep learning algorithm.
即使是简单的人类行为，也很难教授给深度学习算法。

Stanford is using a deep learning algorithm to identify skin cancer.
斯坦福大学正在使用深度学习算法来识别皮肤癌。

Thus our Deep Learning algorithm needs to be educated on these low premium quality pictures too.
所以我们的深度学习算法也必须在如此低质量的图像上训练。

We seem to want to always start with the most powerful deep learning algorithm, but that usually isn't required.
但我们似乎总是想从最为强大的深度学习算法开始，我认为通常并不需要这样做。

Under the deep learning algorithm, the system can identify faces more intelligently.
在深度学习算法下，系统能够更加智能地识别人脸。

Neuroscience has given us a reason to hope that a single deep learning algorithm can solve many different tasks.
神经科学已经给了我们依靠单一深度学习算法解决许多不同任务的理由。

For example, a deep learning algorithm could be trained to‘learn' how a dog looks like.
例如，可以指导深度学习算法来“学习”猫的样子。

Experience with at least one deep learning algorithm, for example CNN, LSTM, etc.
熟悉至少一种深度学习算法，例如CNN或者LSTM等；.

A deep learning algorithm can easily boast tens of millions of parameters and billions of connections.
如今，深度学习算法能够轻易处理数千万个参数和数十亿的连接。

This meant developing a deep learning algorithm they have dubbed DroNet.
这意味着开发一个他们称之为DroNet的深度学习算法。

The deep learning algorithm with real-time data classification could control an electric wheelchair and a small robotic vehicle.
实验结果显示，具有实时数据分类的深度学习算法可以控制电动轮椅和小型机器人车辆。

For example by providing some face images to the Deep Learning algorithm, at the first layer it can learn the edges in different orientations;
例如，通过向深度学习算法提供一些人脸图像，在第一层，它可以学习不同方向的边缘;

Hence, our Deep Learning algorithm must be trained on such low quality images as well.
所以我们的深度学习算法也必须在如此低质量的图像上训练。

On the other hand, an automated diagnostic tool powered by a deep learning algorithm can be programmed to differentiate between cancerous and usual cells.
另一方面，可以对由深度学习算法驱动的自动诊断工具进行编程，以区分癌细胞和常规细胞。

Using a deep learning algorithm, we can remotely monitor and recognize food items inside the refrigerator.
利用深度学习算法，我们可以远程监测和识别冰箱内的食物。

Apple suggests the patent could also use a machine learning or deep learning algorithm to better improve the model refinement and object recognition processes.
苹果公司的专利提出，还可以利用机器学习或深度学习算法，来更好地改进模型细化和对象识别过程。

For instance, a deep learning algorithm could be instructed to“learn” what a cat looks like.
例如，可以指导深度学习算法来“学习”猫的样子。

The embedded hardware carrier and deep learning algorithm are used to form a new generation of computer vision products.
采用嵌入式硬件载体、深度学习算法，构成了新一代计算机视觉产品。

Hence, our Deep Learning algorithm needs to be educated on such low premium quality pictures too.
所以我们的深度学习算法也必须在如此低质量的图像上训练。

Unlike a real doctor, a deep learning algorithm cannot explain why a particular image may suggest disease.
与真正的医生不同，深度学习算法无法解释为什么特定图像可能存在疾病隐患。

Using a unique deep learning algorithm, researchers have attempted to teach their artificial intelligence what haunted houses and"toxic cities" look like.
使用独特的深层学习算法，研究人员试图教他们人工智能什么闹鬼的房子，像是"有毒的城市"。

The scientists created a deep learning algorithm that used the app's PPG signal to ascertain who had diabetes.
科学家们发明了一种深度学习算法，利用应用程序收集的PPG信号来确定谁患有糖尿病。

Varma developed a Deep Learning algorithm to do this and published their results in the Electrical Performance of Electrical Packaging and Systems EPEPS 2017 conference.
Varma组成的团队开发了一种深度学习算法，并在电气封装和系统EPEPS2017大会的电气性能环节中公布了他们的结果。

Additionally, implementing a deep learning algorithm on the EHR database can estimate the life expectancy of patients.
此外，在电子健康记录（EHR）数据库上实施深度学习算法可以估计患者的预期寿命。

We can reinforce a deep learning algorithm to give predictions as close to the original bounding box as possible.
我们可以强化深度学习算法，让预测尽可能接近原始边界框。

Now, the app uses a deep learning algorithm trained on 250 images per font- a total of 33 million images.
现在，这个应用程序使用了一个深度学习算法，每种字体有250个图像--总共3300万张图片。

The researchers trained the deep learning algorithm on 90% of the dataset and then tested it on the remaining 10% of the dataset.
研究人员利用90％的数据集来训练深度学习算法，然后在剩余的10％数据集上进行测试。

The results showed that the deep learning algorithm with real-time data classification could control an electric wheelchair and a small robotic vehicle.
实验结果显示，具有实时数据分类的深度学习算法可以控制电动轮椅和小型机器人车辆。

By applying a hybrid cross-correlation and Deep Learning algorithm with the Sigrity SystemSI tool only 1000 preliminary+ 595 secondary signal integrity simulations were needed.
通过在SigritySystemSI工具中应用混合交叉相关和深度学习算法，只需要1000次一级+595次二级信号完整性仿真。