https://insideainews.com/tag/tensorflow/ Illuminating AI's Frontiers: Your Go-To News Destination. Fri, 17 Nov 2023 21:57:45 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/tensorflow/ 32 32 136462205 https://insideainews.com/2023/11/24/emerging-tools-and-frameworks-in-ai-a-comparative-analysis/ https://insideainews.com/2023/11/24/emerging-tools-and-frameworks-in-ai-a-comparative-analysis/#respond Fri, 24 Nov 2023 11:00:00 +0000 https://insidebigdata.com/?p=33919 In this contributed article, graphic designer and content writer, Erika Ballo delves into some emerging tools and frameworks in AI, comparing their strengths, usability, and ideal use cases.]]> https://insideainews.com/2023/11/24/emerging-tools-and-frameworks-in-ai-a-comparative-analysis/feed/ 0 33919 https://insideainews.com/2020/08/04/book-review-deep-learning-with-tensorflow-2-and-keras/ https://insideainews.com/2020/08/04/book-review-deep-learning-with-tensorflow-2-and-keras/#comments Tue, 04 Aug 2020 13:00:00 +0000 https://insidebigdata.com/?p=24833 If you're a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It's pretty much an all-inclusive resource that includes all the popular methodologies upon which deep learning depends: CNNs, RNNs, RL, GANs, and much more. The glue that makes it all work is represented by the two most popular frameworks for deep learning pratcitioners, TensorFlow and Keras.]]> https://insideainews.com/2020/08/04/book-review-deep-learning-with-tensorflow-2-and-keras/feed/ 4 24833 https://insideainews.com/white-paper/interview-global-technology-leader-pny/ https://insideainews.com/white-paper/interview-global-technology-leader-pny/#respond Mon, 13 Jul 2020 21:06:35 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=24745 The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.]]> 0 24745 https://insideainews.com/2020/02/19/book-review-python-machine-learning-third-edition-by-sebastian-raschka-vahid-mirjalili/ https://insideainews.com/2020/02/19/book-review-python-machine-learning-third-edition-by-sebastian-raschka-vahid-mirjalili/#respond Wed, 19 Feb 2020 16:00:00 +0000 https://insidebigdata.com/?p=24001 I had been looking for a good book to recommend to my "Introduction to Data Science" classes at UCLA as a text to use once my class completes ... sort of the next step after learning the basics. That's why I was looking forward to reviewing the new 3rd edition of the widely acclaimed title "Python Machine Learning" by Sebastian Raschka, Vahid Mirjalili. The book is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a useful resource you'll keep coming back to as you fill up your data science toolbox.]]> https://insideainews.com/2020/02/19/book-review-python-machine-learning-third-edition-by-sebastian-raschka-vahid-mirjalili/feed/ 0 24001 https://insideainews.com/white-paper/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads/ https://insideainews.com/white-paper/insidebigdata-guide-to-optimized-storage-for-ai-and-deep-learning-workloads/#respond Tue, 10 Sep 2019 17:56:38 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=23255 This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.]]> 0 23255 https://insideainews.com/2019/07/24/darwinai-generative-synthesis-platform-and-intel-optimizations-for-tensorflow-accelerate-neural-networks/ https://insideainews.com/2019/07/24/darwinai-generative-synthesis-platform-and-intel-optimizations-for-tensorflow-accelerate-neural-networks/#respond Wed, 24 Jul 2019 15:30:10 +0000 https://insidebigdata.com/?p=22979 DarwinAI, a Waterloo, Canada startup creating next-generation technologies for Artificial Intelligence development, announced that the company’s Generative Synthesis platform – when used with Intel technology and optimizations – generated neural networks with a 16.3X improvement in image classification inference performance. Intel shared the optimization results in a recently published solution brief. ]]> https://insideainews.com/2019/07/24/darwinai-generative-synthesis-platform-and-intel-optimizations-for-tensorflow-accelerate-neural-networks/feed/ 0 22979 https://insideainews.com/white-paper/darwinai-generative-synthesis-platform-and-intel-optimizations-for-tensorflow-accelerate-neural-networks/ https://insideainews.com/white-paper/darwinai-generative-synthesis-platform-and-intel-optimizations-for-tensorflow-accelerate-neural-networks/#respond Sat, 20 Jul 2019 17:08:54 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=22977 DarwinAI, a Waterloo, Canada startup creating next-generation technologies for Artificial Intelligence development, announced that the company’s Generative Synthesis platform – when used with Intel technology and optimizations – generated neural networks with a 16.3X improvement in image classification inference performance. Intel shared the optimization results in this recently published solution brief. The complexity of deep […]]]> 0 22977 https://insideainews.com/2018/01/09/book-review-learning-tensorflow/ https://insideainews.com/2018/01/09/book-review-learning-tensorflow/#respond Tue, 09 Jan 2018 16:30:36 +0000 https://insidebigdata.com/?p=19725 Deep Neural Networks (DNNs), upon which deep learning is based, are trained with large amounts of data, and can solve complex tasks with unprecedented accuracy. TensorFlow is a leading open source software framework that helps you build and train neural networks. Here's a nice resource to help you kick-start your use of TensorFlow - “Learning TensorFlow" by Tom Hope, Yehezkel S. Resheff and Itay Leider.]]> https://insideainews.com/2018/01/09/book-review-learning-tensorflow/feed/ 0 19725 https://insideainews.com/2017/11/11/large-scale-deep-learning-tensorflow/ https://insideainews.com/2017/11/11/large-scale-deep-learning-tensorflow/#respond Sat, 11 Nov 2017 16:30:04 +0000 https://insidebigdata.com/?p=19372 In this video presentation from the Spark Summit 2016 conference in San Francisco, Google's Jeff Dean examines large scale deep learning with the TensorFlow framework. Jeff joined Google in 1999 and is currently a Google Senior Fellow. ]]> https://insideainews.com/2017/11/11/large-scale-deep-learning-tensorflow/feed/ 0 19372 https://insideainews.com/2017/10/21/tensorflow-tutorial-simple-linear-model/ https://insideainews.com/2017/10/21/tensorflow-tutorial-simple-linear-model/#respond Sat, 21 Oct 2017 15:30:18 +0000 https://insidebigdata.com/?p=19192 In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. You should be familiar with basic linear algebra, Python and the Jupyter Notebook editor. It also helps if you have a basic understanding of Machine Learning and classification.]]> https://insideainews.com/2017/10/21/tensorflow-tutorial-simple-linear-model/feed/ 0 19192