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All of these factorshave contributedto the success of deep learning on large scale image understanding tasks
imagesdesignedfor training deep learning image recognition algorithms
to be more accessible to developers than previous machine - learning courses offered by Udacity(passive) is designedThe Intro to TensorFlow for Deep Learning course
to present you the full knowledge of working in this technology(passive) is suspiciously designedDeep Learning Course Deep Learning Course
an artificial intelligencedesignedfor deep , learning - based image recognition
the example of applying Active Learning to the ImageNet datasetusing the TensorFlow Deep Learning framework
Deep Convolutional Neural Networks modeldesignedfor deep learning of image features
Searchresultsfor ' deep learning , deep learning courses
This project(passive) is designedImage Classification with Deep Learning
to mimic human brain activity through hardware and software(passive) is designeddeep learning " ( learning deep
What happens next issetsDeep Learning apart
the major factorssetsdeep learning apart
Researchersdiscoverdeep learning model
to continually analyze data with a logic structure similar to how a human would draw conclusions(passive) is designedDeep Learning model
complex feature sets ... relatively sparse advance modelingsetsdeep learning apart
Learnto discoverwhen to use deep learning
Learnhow to discoverwhen to use deep learning
the drivers and packages neededto setKeras deep learning framework
by Google(passive) designed bydeep learning algorithm
Medical imaging researchershave discoveredthe power of deep learning
production Scalable architecturedesignedto run deep learning
by the run strategy(passive) was designed bydeep learning framework
for a Teacher candidate and / or Reiki(passive) is designedOkuden ( deep learning
learnto paintusing deep learning
an automated methoddesignedbased on deep learning
who helpedsetup the deep learning cluster
how IBM Power9 vision can helpdiscoverDeep Learning insight
These interactive assistants , powered by advanced Natural Language Processing ( NLP ) andwould ... discoverdeep learning capabilities
your journey to startsettingdeep learning versions
massive parallelizationleadingto scalable deep learning
surprise one of the first startupsto designaccelerators for deep learning
of machine learning algorithms , neural networks , and AI which connects all three(passive) is composedDeep learning
New Tensor Coresdesignedfor deep learning
AI algorithmsdesignedon deep learning
Andrew Ng , the data scientist who helpedleaddeep learning
NVIDIA?s DGX-1 supercomputerdesignedfor deep learning
to provide maximum performance when training deep neural networks(passive) has been designedWhisperStation - Deep Learning
Nvidia?s computer chipsdesignedfor deep learning
first Neural Network Processor ( NPUis ... designedfor Deep Learning
an open source Java AI toolspecially designedfor deep learning
within imagesdiscoverwithin images
Myriad 2 Vision Processing Unit ( VPU(passive) is designedMyriad 2 Vision Processing Unit ( VPU
patternsdiscoverspatterns
in high accuracycan resultin high accuracy
good representationsto discovergood representations
to cheaper - to - deploy AI algorithmscould leadto cheaper - to - deploy AI algorithms
specifically for linguistic sequence modelsdesignedspecifically for linguistic sequence models
intermediate data representations in a hierarchical learning mannerto discoverintermediate data representations in a hierarchical learning manner
to breakthroughs in a number of artificial intelligence taskshas ledto breakthroughs in a number of artificial intelligence tasks
to instability in large mini - batch trainingcan leadto instability in large mini - batch training
in a hyper - parameter space that can not be searched on a single machine or a small clusterhave resultedin a hyper - parameter space that can not be searched on a single machine or a small cluster
to mimic human brain activity through hardware and softwareis designedto mimic human brain activity through hardware and software
images in the style of another image using neural style transferto composeimages in the style of another image using neural style transfer
patternsto discoverpatterns
of inputs such as image or audio and several hidden layers of sub - models that serve as input for the next layer and ultimately an output or activation functioncomposedof inputs such as image or audio and several hidden layers of sub - models that serve as input for the next layer and ultimately an output or activation function
for both efficiency and flexibilitydesignedfor both efficiency and flexibility
for efficiency and flexibilitydesignedfor efficiency and flexibility
for optimal inferencedesignedfor optimal inference
up or installedsetup or installed
for expression , speed , and modularity Accessdesignedfor expression , speed , and modularity Access
with expression , speed , and modularity in minddesignedwith expression , speed , and modularity in mind
to breakthroughsleadingto breakthroughs
hidden patternsto discoverhidden patterns
These layers(passive) are designedThese layers
hidden patterns in previous rulingsto discoverhidden patterns in previous rulings
the Molecules of Tomorrowto Designthe Molecules of Tomorrow
Exoplanets ResearchersTo DiscoverExoplanets Researchers
New 3D vision sensor and(passive) are designedNew 3D vision sensor and
to product matchingleadto product matching
to a breakthrough of image understandinghave ledto a breakthrough of image understanding
for image classificationdesignedfor image classification
to improvements in translation fluencyhas ledto improvements in translation fluency
basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processingsetsbasic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing
basic parameters about the data and trains the computer to learn on its own by recognizing patterns that use many layers of processingsetsbasic parameters about the data and trains the computer to learn on its own by recognizing patterns that use many layers of processing
basic parameters about the data and trains the computer to learn on its own by recognizing patterns using multiple neural network layers for processing ( like neurons in the brainsetsbasic parameters about the data and trains the computer to learn on its own by recognizing patterns using multiple neural network layers for processing ( like neurons in the brain
in state of the art performance for automated tasks in the fields of natural language processing , computer vision , autonomous driving , and many other sub - fields of Artificial Intelligencehas resultedin state of the art performance for automated tasks in the fields of natural language processing , computer vision , autonomous driving , and many other sub - fields of Artificial Intelligence
in significant gains in performance of commercial image - recognition systemshas resultedin significant gains in performance of commercial image - recognition systems
to breakthroughs in AI taskshas ledto breakthroughs in AI tasks
to recent progress in the fields of speech and natural language processinghas contributedto recent progress in the fields of speech and natural language processing
to some big advances in computer vision , natural language processing , and other areashas ledto some big advances in computer vision , natural language processing , and other areas