With the Deep Learning scene being dominated by three main frameworks, it is very easy to get confused on which one to use? In this video on Keras vs Tensorflow vs Pytorch, we will clear all your doubts on which framework is better and which framework should be used by beginners, intermediates, and professionals. 🔥Free Deep Learning Course: https://www.simplilearn.com/introduction-to-deep-learning-free-course-skillup?utm_campaign=KerasvsTFvsPytorch&utm_medium=Description&utm_source=youtube The topics covered in this video are : 00:00:00 What is Keras, Tensorflow and Pytorch? 00:05:27 Differences between Keras, TensorFlow and Pytorch 00:11:46 Which framework should you use? Start learning today’s most in-demand skills for FREE. Visit us at https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=ArtificialIntelligence&utm_medium=Description&utm_source=youtube Choose over 300 in-demand skills and get access to 1000+ hours of video content for FREE in various technologies like Data Science, Cybersecurity, Project Management & Leadership, Digital Marketing, and much more. ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Deep Learning tutorial videos: https://www.youtube.com/watch?v=6M5VXKLf4D4&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip #KerasvsTensorflowvsPytorch #KerasvsTensorFlow #DeepLearningFrameworks #DeepLearningFrameworksComparision #ArtificialIntelligenceCourse #ArtificialIntelligenceTutorial #ArtificialIntelligenceTutorialForBeginners #Simplilearn Post Graduate Program in AI and Machine Learning: Ranked #1 AI and Machine Learning course by TechGig Fast track your career with our comprehensive Post Graduate Program in AI and Machine Learning, in partnership with Purdue University and in collaboration with IBM. This AI and machine learning certification program will prepare you for one of the world’s most exciting technology frontiers. This Post Graduate Program in AI and Machine Learning covers statistics, Python, machine learning, deep learning networks, NLP, and reinforcement learning. You will build and deploy deep learning models [More]
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka video on “Keras vs TensorFlow vs PyTorch” will provide you with a crisp comparison among the top three deep learning frameworks. It provides a detailed and comprehensive knowledge about Keras, TensorFlow and PyTorch and which one to use for what purposes. Following topics will be covered in this video: 1:06 – Introduction to keras, Tensorflow, Pytorch 2:13 – Parameters of Comparison 2:18 – Level of API 3:06 – Speed 3:28 – Architecture 4:03 – Ease of Code 4:27 – Debugging 4:59 – Community Support 5:19 – Datasets 5:37 – Popularity 6:14 – Suitable use cases Subscribe to our channel to get video updates. Hit the subscribe button above https://goo.gl/6ohpTV PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai Post Graduate Certification in Data Science with IIT Guwahati – https://www.edureka.co/post-graduate/data-science-program (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE #keras #tensorflow #pytorch #deeplearning #machinelearning #frameworks – – – – – – – – – – – – – – How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you [More]
This Deep Learning tutorial covers all the essential Deep Learning frameworks that are necessary to build AI models. In this video, you will learn about the development of essential frameworks such as TensorFlow, Keras, PyTorch, Theano, etc. You will also understand the programming languages used to build the frameworks, the different companies that use these frameworks, the characteristics of these Deep Learning frameworks, and type of models that were built using these frameworks. Now, let us get started with understanding the different popular Deep Learning frameworks being used in industries. Below are the different Deep Learning frameworks we’ll be discussing in this video: 1. TensorFlow (01:28) 2. Keras (02:54) 3. PyTorch (05:02) 4. Theano (06:30) 5. Deep Learning 4 Java (07:55) 6. Caffe (09:51) 7. Chainer (11:29) 8. Microsoft CNTK (13:48) To learn more about Deep Learning, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 To access the slides, click here: https://www.slideshare.net/Simplilearn/deep-learning-frameworks-2019-which-deep-learning-framework-to-use-deep-learning-simplilearn/Simplilearn/deep-learning-frameworks-2019-which-deep-learning-framework-to-use-deep-learning-simplilearn Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip #DeepLearningFrameworks #DeepLearningTutorial #DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you’ll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist. Why Deep Learning? It is one of the most popular software platforms used [More]
Join Daniel Faggella, CEO of Emerj Artificial Intelligence Research (www.emerj.com), on bringing crucial AI research to investors and law enforcement alike to create essential frameworks – from media formats to regulatory guidelines and gradients of punishment – that deal with the shift in audio and visual contents, from artifacts of real things in the past, to tinkered content which can range from simple pranks to deepfakes that can affect stock markets, politics, and global security Subscribe, Like and comment! Follow us on social media for more updates: Official website: https://www.btcn.tv/ Instagram: https://www.instagram.com/btcnasia/ Facebook: https://www.facebook.com/btcn.asiaSG/ Twitter: https://www.twitter.com/btcnasia/ LinkedIn: https://www.linkedin.com/company/btcn… #btcnasia #businessofeverything
** Machine Learning Training with Python: https://www.edureka.co/data-science-python-certification-course ** This Edureka video will provide you with a list of Machine Learning tools and Frameworks that one must know about. Check out our playlist for more videos: http://bit.ly/2taym8X Subscribe to our channel to get video updates. Hit the subscribe button above. PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai Post Graduate Certification in Data Science with IIT Guwahati – https://www.edureka.co/post-graduate/data-science-program (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) #Edureka #MachineLearningEdureka #MachineLearningTools #MachineLearningUsingPython #MachineLearningTraining How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate! – – – – – – – – – – – – – – – – – About the Course Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect [More]
( ** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** ) This Edureka video on “Deep Learning Frameworks” (https://goo.gl/27nAwR) provides you an insight into the top 8 Deep Learning frameworks you should consider learning 00:38 Chainer 01:40 CNTK 03:12 Caffe 04:46 MXNet 05:55 Deeplearning4j 07:42 Keras 09:21 PyTorch 10:45 TensorFlow 12:10 Conclusion Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Check out our Deep Learning blog series: https://bit.ly/2xVIMe1 Check out our complete Youtube playlist here: https://bit.ly/2OhZEpz ————————————- Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #PyTorch #TensorFlow #DeepLearning #Python ————————————- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. About the Course Edureka’s Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course [More]
During the mid-80s, Yoshua Bengio began his research in neural networks. This became the gateway to his career in artificial intelligence (AI) and deep learning (DL). In his presentation, Yoshua takes us through the evolution of DL: How it started in supervised learning, its progression from speech recognition to computer vision, till it reached human level processing and where we can expect it to go from here. At its core, of AI needs knowledge. Early models of AI failed as human knowledge, such as intuition, is implicit. DL was born as a way to let machines help intelligent decisions on its own. Empowered by increasing computational power and improved algorithms, DL and deep neural networks has advanced rapidly speech recognition, computer vision and natural language processing and visual question answering. Yoshua Bengio (PhD in CS, McGill University, 1991), post-docs at M.I.T. (Michael Jordan) and AT&T Bell Labs (Yann LeCun), CS professor at Université de Montréal, Canada Research Chair in Statistical Learning Algorithms, NSERC Chair, CIFAR Fellow, member of NIPS foundation board and former program/general chair, co-created ICLR conference, authored two books and over 300 publications, the most cited being in the areas of deep learning, recurrent networks, probabilistic learning, natural language and manifold learning. He is among the most cited Canadian computer scientists and is or has been associate editor of the top journals in machine learning and neural networks. This presentation took place at RE•WORK Deep Learning Summit in Boston, May 2016. View more videos from RE•WORK Summits here: [More]
In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples, eventually coming to a definitive conclusion. The code for the TensorFlow vs Theano part of the video is here: https://github.com/llSourcell/tensorflow_vs_theano An article that explains the differences in more detail: https://medium.com/@sentimentron/faceoff-theano-vs-tensorflow-e25648c31800#.bg4xmz1au I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Learn more about TF Learn here: https://github.com/tflearn/tflearn and here: https://www.tensorflow.org/versions/r0.9/tutorials/tflearn/index.html Learn more about TensorFlow here: https://www.oreilly.com/learning/hello-tensorflow More on Keras here: http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/ More on SciKit Learn here: http://scikit-learn.org/stable/tutorial/ More on Caffe here: http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html More on Theano here: https://github.com/Newmu/Theano-Tutorials Thanks for watching guys, I do this for you. If you like my videos, feel free to support me on Patreon and please LIKE, SUBSCRIBE, COMMENT, AND SHARE! https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!