Tensorflow Image Classification | Build Your Own Image Classifier In Tensorflow | Edureka скачать в хорошем качестве

Tensorflow Image Classification | Build Your Own Image Classifier In Tensorflow | Edureka

**AI and Deep Learning using TensorFlow: https://edureka.co/ai-deep-learning-w... ** This Edureka Live video on "Tensorflow Image Classification" will provide you with a comprehensive and detailed knowledge of Image classification and how it can be implemented using Tensorflow. It covers the following topics: 1:04 What is TensorFlow 1:35 Applications of TensorFlow 2:32 Image Classification 3:15 Fashion MNIST 16:42 CIFAR-10 ----------------------------------------------------------- Machine Learning Podcast - http://bit.ly/2IGLYCc Complete Youtube Playlist here: https://bit.ly/2OhZEpz Deep Learning Blog Series: https://bit.ly/2xVIMe1 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV Instagram:   / edureka_learning   Slideshare: https://www.slideshare.net/EdurekaIN/ Facebook:   / edurekain   Twitter:   / edurekain   LinkedIn:   / edureka   ----------------------------------------------------------- #edureka #edurekadeeplearning #tensorflow #imageclassification #deeplearning #tensorflowtutorial About the course: Edureka's Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies. ------------------------------------------------------ Objectives: Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers: In-depth knowledge of Deep Neural Networks Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders Implementation of Collaborative Filtering with RBM The exposure to real-life industry-based projects which will be executed using TensorFlow library Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry standards and best practices ------------------------------------------------- Why should one go for this course? Deep Learning is one of the most accelerating and promising fields, among all the technologies available in the IT market today. To become an expert in this technology, you need structured training with the latest skills as per current industry requirements and best practices. Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of the solution strategy. Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects. --------------------------------------------------- Skills that you will be learning: Deep Learning in TensorFlow with Python Training will help you to become a Deep Learning Engineer. It will hone your skills by offering you comprehensive knowledge on Deep Learning in TensorFlow. It will also acquaint you with the required hands-on experience for solving real-time industry-based Deep Learning projects. During this course you will be trained by our expert instructors on: Deep Learning and TensorFlow Concepts Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Proficiency in Long short-term memory (LSTM) Implementing Keras, TFlearn, Autoencoders Implementing Restricted Boltzmann Machine (RBM) Knowledge of Neural Networks & Natural Language Processing (NLP) Using Python with TensorFlow Libraries Perform Text Analytics Perform Text Processing -------------------------------------------------- Who should go for this course? The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are: Developers aspiring to be a 'Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Deep Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio. ------------------------------------------------ For more information, Please write back to us at sales@edureka.co or call us at: IND: 9606058406 / US: 18338555775 (toll free)