The Naive Bayes classifier is a simple classifier that classifies based on probabilities of events. It is the applied commonly to text classification. Though it is a simple algorithm, it performs well in many text classification problems. Other Pros include less training time and less training data. Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more Please do subscribe my other channel too If you want to Give donation to support my channel, below is the Gpay id GPay: krishnaik06@okicici Connect with me here: Twitter: Facebook: instagram:
***AI and Deep Learning using TensorFlow: *** 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 – Complete Youtube Playlist here: Deep Learning Blog Series: Subscribe to our channel to get video updates. Hit the subscribe button above: Instagram: Slideshare: Facebook: Twitter: LinkedIn: ———————————————————– #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 [More]
Monet or Picasso? In this episode, we’ll train our own image classifier, using TensorFlow for Poets. Along the way, I’ll introduce Deep Learning, and add context and background on why the classifier works so well. Here are links to learn more, thanks for watching, and have fun! TensorFlow for Poets Codelab: Google’s Udacity class on Deep Learning: TensorFlow tutorial: Google Research blog on Inception: You can follow me on Twitter at for updates on episodes, and of course – Google Developers. Subscribe to Google Developers: – Subscribe to the brand new Firebase Channel: And here’s our playlist: