In this Neural Networks and Deep Learning Video, we will talk about the Best Deep Learning Framework. We will take a look at some of the most popular and used Deep Learning Frameworks and make a comparison. We are also going to see the differences in how neural networks are created and trained in Keras and PyTorch.
In this Neural Networks and Deep Learning Video, we will talk about the Best Deep Learning Framework. We will take a look at some of the most popular and used Deep Learning Frameworks and make a comparison. We are also going to see the differences in how neural networks are created and trained in Keras and PyTorch. At the end of the video, I will tell you in what situations or applications where it might be good to use one framework over the other.
Throughout the Neural Networks and Deep Learning Tutorial, we are going to cover everything about the basics and fundamentals of neural networks. How they work, how you can create one yourself, and how you can train it to make actual predictions on data the network has not seen before.
Code examples and images from this tutorial will be available on my GitHub: https://github.com/niconielsen32
Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
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We will go over what is the difference between pytorch, tensorflow and keras in this video. Pytorch and Tensorflow are two most popular deep learning frameworks. Pytorch is by facebook and Tensorflow is by Google. Keras is not a full fledge deep learning framework, it is just a wrapper around Tensorflow that provides some convenient APIs.
Learn the Features of Keras that make it worth to learn keras like backend support, the basis of innovation, and the simplicity of Keras API etc.
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.