PyData London Meetup #58 Tuesday, September 3, 2019 I'll show you how I turned being bad at shootin' b-ball outside of the school into a multi neural network...
I'll show you how I turned being bad at shootin' b-ball outside of the school into a multi neural network based mobile application that does real time analysis of my limited basketball skills.
Keras vs Tensorflow - Learn the differences between Keras and Tensorflow on basis of Ease to use, Fast development,Functionality,flexibility,Performance etc
Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
Turn your dataset into TensorFlow for the beginner step by step. In this article, I’m going to deal with the Large Movie Review Dataset and train a Keras.models.Sequential model, which is a plain stack of layers model.
Dropout is a common regularization technique that is leveraged within state-of-the-art solutions to computer vision tasks such as pose estimation, object detection or semantic segmentation. In this post, you'll Understanding And Implementing Dropout In TensorFlow And Keras
Learn about Keras Ecosystem components like Keras tuner, auto keras, TFX, Model Optimization Toolkit, Tensorflow Lite, Tensorflow.js and their features.Keras, other than being a high-level deep learning API also has some other initiatives for machine learning workflow. There is a wide range of machine learning frameworks whose development is based on Keras. In this article, we will discuss Keras Ecosystem. This ecosystem of frameworks tries to ease and optimize the current approach of training and deploying ML models. Keras Ecosystem Keeping you updated with latest technology trends, Join DataFlair on Telegram Keras Ecosystem Some of the frameworks for Keras Ecosystem are: 1. Auto Keras This framework was built at the DATA lab with an ambition of making machine learning accessible to everyone. It is a simple interface to perform many machine learning tasks. The supported tasks in auto Keras are image classifier, image regression, text classification, text regression, structured data classification, and structured data regression.