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Deep Learning in Mission-critical and scalable Real Time Applications with Open Source Frameworks
⏲ 29 min 91 sec ✓ 19-Feb-2018
AI state of the art 2022: Building AI apps with Java, Tensorflow & DeepLearning4j
⏲ 1 hour 6 minutes 9 seconds 👁 1.1K
Deep Learning Cars
⏲ 3 minutes 19 seconds 👁 5.2M
Deeplearning4j – Machine Learning in Java
⏲ 35 min 18 sec ✓ 07-Sep-2018
TensorFlow in 100 Seconds
⏲ 2 minutes 39 seconds 👁 428.2K
TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
⏲ 6 hours 52 minutes 8 seconds 👁 1.5M
Deep Credit Risk Ranking with LSTMKyle Grove (Teradata)
⏲ 19 min 34 sec ✓ 12-Jun-2018
TensorFlow Tutorial For Beginners | Deep Learning with Python
⏲ 14 minutes 8 seconds 👁 10.1K
But what is a neural network? | Chapter 1, Deep learning
⏲ 18 minutes 40 seconds 👁 8.1M
building IoT 2018: Processing IoT Data with Apache Kafka, KSQL and Machine Learning (Robin Moffatt)
⏲ 22 min 52 sec ✓ 13-Jul-2018
AI Learns to Speedrun Mario
⏲ 8 minutes 7 seconds 👁 278.8K
How I’d learn ML in 2024 (if I could start over)
⏲ 7 minutes 5 seconds 👁 390.6K
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_deep-learning-in-mission-critical-and-scalable-real-time-applications-with-open-source-frameworks.webp "This talk shows how to productionize Deep Learning models built by data scientists – a key challenge in most companies. The first part introduces Deep Learning using open source frameworks like TensorFlow, Deeplearning4j or H2O. The second part shows how to deploy the built analytic models to mission-critical and scalable real time applications by leveraging Apache Kafka as streaming platform.nnKai Wähner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within")
_ai-state-of-the-art-2022-building-ai-apps-with-java-tensorflow-amp-deeplearning4j.webp "Ciklum official")
_deep-learning-cars.webp "Samuel Arzt")
_deeplearning4j-machine-learning-in-java.webp "Christoph Henkelmann (DIVISIO GmbH): Python-basierte Frameworks wie TensorFlow und scikit-learn dominieren zurzeit den Machine-Learning-(ML-) und Artificial-Intelligence-(AI-)Bereich. Deeplearning4j ist ein Framework, das verspricht, die gleichen Aufgaben wie die Python-Platzhirsche zu lösen, bietet aber dabei EntwicklerInnen ein hundertprozentiges Java-API. Diese Session bietet eine Einführung in DL4J und zieht gleichzeitig einen Vergleich zu den etablierten Python-Frameworks. Anhand von Beis")
_tensorflow-in-100-seconds.webp "Fireship")
_tensorflow-2-0-complete-course-python-neural-networks-for-beginners-tutorial.webp "freeCodeCamp.org")
_deep-credit-risk-ranking-with-lstmkyle-grove-teradata.webp "Find out how Teradata and some of world’s largest financial institutions are innovating credit risk ranking with deep learning techniques and AnalyticOps. With the AnalyticOps framework, these organization have built models with increased accuracy to drive more profitable lending decisions, while being explainable to regulators.nnJoin us for a live session and learn about:nnA machine learning ensemble including LSTM that achieves 90%+ accuracy at predicting delinquency/default, exceeding conve")
_tensorflow-tutorial-for-beginners-124-deep-learning-with-python.webp "Doga Ozgon")
_but-what-is-a-neural-network-124-chapter-1-deep-learning.webp "3Blue1Brown")
_building-iot-2018-processing-iot-data-with-apache-kafka-ksql-and-machine-learning-robin-moffatt.webp "IoT devices generate large amounts of data that must be continuously processed and analyzed. Apache Kafka is a highly scalable open source streaming platform for reading, storing, processing and forwarding large amounts of data from thousands of IoT devices. KSQL is an open source streaming SQL engine based natively on Apache Kafka to enable stream processing for everyone using simple SQL commands.nnThis talk shows with a scenario from the health care sector how Kafka and KSQL can help to contin")
_ai-learns-to-speedrun-mario.webp "Kush Gupta")
_how-id-learn-ml-in-2024-if-i-could-start-over.webp "Boris Meinardus")
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