Getting Started with TensorFlow 2.0 and Keras for Beginners Download working file: https://github.com/laxmimerit/Getting-Started-with-Tensorflow-2.0-and-Keras-for-Beginners
What is Tensorflow? Currently, the most famous deep learning library in the world is Google's TensorFlow. Google product uses machine learning in all of its products to improve the search engine, translation, image captioning or recommendations.
Tensorflow architecture works in three parts: Preprocessing the data Build the model Train and estimate the model
It is called Tensorflow because it takes input as a multi-dimensional array which is also known as tensors. I am assuming that you know a little about the machine learning and deep learning
Why Every Data Scientist Learn Tensorflow 2.x not Tensorflow 1.x There are many changes in TensorFlow 2.0 to make users more productive, including removing redundant APIs, making APIs more consistent (Unified RNNs, Unified Optimizers), and better integrating with the Python runtime with Eager execution API Cleanup Eager execution No more globals Functions, not sessions (session.run()) Use Keras layers and models to manage variables It is faster It takes less space More consistent
Like Facebook Page: https://www.facebook.com/kgptalkie/
Watch Full Playlists: Feature Selection in Machine Learning using Python: https://www.youtube.com/playlist?list=PLc2rvfiptPSQYzmDIFuq2PqN2n28ZjxDH
Machine Learning with Theory and Example https://www.youtube.com/playlist?list=PLc2rvfiptPSTvPFbNlT_TGRupzKKhJSIv
Make Your Own Automated Email Marketing Software in Python: https://www.youtube.com/watch?v=gmYuom6kfoY&list=PLc2rvfiptPSQK9ErKaLqf40iu1A3le9Zr