“Generative models in Tensorflow 2”
GitHub, by Tim Sainburg: https://lnkd.in/eAHD5Ew
#deeplearning #generativeadversarialnetworks #tensorflow #technology
✴️ @AI_Python_EN
GitHub, by Tim Sainburg: https://lnkd.in/eAHD5Ew
#deeplearning #generativeadversarialnetworks #tensorflow #technology
✴️ @AI_Python_EN
May 15, 2019
Natural Language Processing with Deep Learning in Python ☞ http://bit.ly/2HlcwXV #DeepLearning #TensorFlow
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May 15, 2019
A Convolutional Neural Network Tutorial in Keras and Tensorflow 2
https://medium.com/@isakbosman/a-convolutional-neural-network-tutorial-in-keras-and-tensorflow-2-2bff79f477c0
#Keras #neuralnetwork #TensorFlow #ConvolutionalNeuralNetwork
✴️ @AI_Python_EN
https://medium.com/@isakbosman/a-convolutional-neural-network-tutorial-in-keras-and-tensorflow-2-2bff79f477c0
#Keras #neuralnetwork #TensorFlow #ConvolutionalNeuralNetwork
✴️ @AI_Python_EN
May 15, 2019
Discover 3D graphics capabilities for #TensorFlow >> https://github.com/tensorflow/graphics … | #DeepLearning
✴️ @AI_Python_EN
✴️ @AI_Python_EN
May 15, 2019
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Deep Learning: GANs and Variational Autoencoders ☞ http://bit.ly/2JdVTP3 #tensorflow #ai
✴️ @AI_Python_EN
✴️ @AI_Python_EN
May 15, 2019
Gradient Flow: a new notebook that explains automatic differentiation using eager execution in #TensorFlow. I go over computational graphs, vector valued functions, gradient, etc ..
https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/GradientFlow.ipynb
✴️ @AI_Python_EN
https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/GradientFlow.ipynb
✴️ @AI_Python_EN
May 26, 2019
#SparkNLP: State of the Art Natural Language Processing
Spark NLP ships with many NLP features, pre-trained models and pipelines #johnsnowlab
NLP Features:
#Tokenization; #Normalizer; #Stemmer; #Lemmatizer; #RegexMatching; #TextMatching; #Chunking; #DateMatcher; #Part-of-speech tagging; #SentenceDetector; #SentimentDetection (ML model); #SpellChecker (ML and DL models); #WordEmbeddings (#BERT and #GloVe); #Namedentityrecognition; #Dependencyparsing (Labeled/unlabled); Easy #TensorFlow integration; #pretrainedpipelines!
Github: https://lnkd.in/fbWquan
Website: https://lnkd.in/fRqsDHX
✴️ @AI_Python_EN
Spark NLP ships with many NLP features, pre-trained models and pipelines #johnsnowlab
NLP Features:
#Tokenization; #Normalizer; #Stemmer; #Lemmatizer; #RegexMatching; #TextMatching; #Chunking; #DateMatcher; #Part-of-speech tagging; #SentenceDetector; #SentimentDetection (ML model); #SpellChecker (ML and DL models); #WordEmbeddings (#BERT and #GloVe); #Namedentityrecognition; #Dependencyparsing (Labeled/unlabled); Easy #TensorFlow integration; #pretrainedpipelines!
Github: https://lnkd.in/fbWquan
Website: https://lnkd.in/fRqsDHX
✴️ @AI_Python_EN
May 31, 2019
Lesson 5: Deep Dream implementation using Swift for #TensorFlow.
Colab: https://colab.research.google.com/github/zaidalyafeai/Swift4TF/blob/master/Swift4TF_DeepDream.ipynb …
✴️ @AI_Python_EN
Colab: https://colab.research.google.com/github/zaidalyafeai/Swift4TF/blob/master/Swift4TF_DeepDream.ipynb …
✴️ @AI_Python_EN
June 26, 2019
Getting System Information in Linux using Python Script.
#BigData #Analytics #DataScience #IoT #PyTorch #Python #RStats #TensorFlow #DataScientist #Linux
http://bit.ly/2X56cZa
✴️ @AI_Python_EN
#BigData #Analytics #DataScience #IoT #PyTorch #Python #RStats #TensorFlow #DataScientist #Linux
http://bit.ly/2X56cZa
✴️ @AI_Python_EN
June 29, 2019
This is the reference implementation of Diff2Vec - "Fast Sequence Based Embedding With Diffusion Graphs" (CompleNet 2018). Diff2Vec is a node embedding algorithm which scales up to networks with millions of nodes. It can be used for node classification, node level regression, latent space community detection and link prediction. Enjoy!
https://lnkd.in/dXiy5-U
#technology #machinelearning #datamining #datascience #deeplearning #neuralnetworks #pytorch #tensorflow #diffusion #Algorithms
✴️ @AI_Python_EN
https://lnkd.in/dXiy5-U
#technology #machinelearning #datamining #datascience #deeplearning #neuralnetworks #pytorch #tensorflow #diffusion #Algorithms
✴️ @AI_Python_EN
June 30, 2019
Training an AI agent to play Snake with TensorFlow 2.0.
Code by Paweł Kieliszczyk: https://lnkd.in/edTVYEC
#MachineLearning #ReinforcementLearning #TensorFlow
✴️ @AI_Python_EN
Code by Paweł Kieliszczyk: https://lnkd.in/edTVYEC
#MachineLearning #ReinforcementLearning #TensorFlow
✴️ @AI_Python_EN
July 1, 2019
Deep Learning For Real Time Streaming Data With Kafka And Tensorflow
#DeepLearning #Tensorflow
https://www.youtube.com/watch?v=HenBuC4ATb0
✴️ @AI_Python_EN
#DeepLearning #Tensorflow
https://www.youtube.com/watch?v=HenBuC4ATb0
✴️ @AI_Python_EN
July 10, 2019
July 17, 2019
Understanding the Backpropagation Algorithm.
#BigData #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #TensorFlow #CloudComputing #Algorithms
http://bit.ly/2ASKwqx
❇️ @AI_Python_EN
#BigData #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #TensorFlow #CloudComputing #Algorithms
http://bit.ly/2ASKwqx
❇️ @AI_Python_EN
October 8, 2019
The war between ML frameworks has raged on since the rebirth of deep learning. Who is winning? Horace He data analysis shows clear trends: PyTorch is winning dramatically among researchers, while Tensorflow still dominates industry.
#PyTorch #Tensorflow
https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/
❇️ @AI_Python_EN
#PyTorch #Tensorflow
https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/
❇️ @AI_Python_EN
October 11, 2019
New tutorial! Traffic Sign Classification with #Keras and #TensorFlow 2.0
- 95% accurate
- Includes pre-trained model
- Full tutorial w/ #Python code
http://pyimg.co/5wzc5
#DeepLearning #MachineLearning #ArtificialIntelligence #DataScience #AI #computervision
❇️ @AI_Python_EN
- 95% accurate
- Includes pre-trained model
- Full tutorial w/ #Python code
http://pyimg.co/5wzc5
#DeepLearning #MachineLearning #ArtificialIntelligence #DataScience #AI #computervision
❇️ @AI_Python_EN
November 5, 2019