Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library
Source: Infoworld
28131
We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.
Source: Kdnugget22491
Deep Learning is a collection of algorithms used in machine learning. This is an approach used for building and training neural network. There are many frameworks like Tensorflow, Theono, Caffe, Torch and PyTorch.
Source: HOB20232
Scholarship recipients will learn the Machine Learning, Deep Learning framework PyTorch for Artificial Intelligence Research.
Source: HOB10806
Speech recognition is the task of detecting spoken words. There are many techniques to do Speech Recognition. In this post, we will go through some background required for Speech Recognition and use a basic technique to build a speech recognition model. The code is available on GitHub. For the techniques mentioned in this post, check this Jupyter Notebook.
Source: HOB17055
GitHub has identified three features that make a programming language popular in 2018.
Source: HOB8619
We will now talk about what are some steps that you can do if you want to deploy your recently trained model as an API. The discussion on how to do this with Fast.ai is currently ongoing (more) and will most likely continue until PyTorch releases their official 1.0 version. You can find more information in the Fast.ai Forums, PyTorch Documentation/Forums, and their respective GitHub repositories.
Source: HOB16977
More than 1,300 people mainly working in the tech, finance, and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.
Source: HOB29055
Using a Deep Learning Framework Deep Learning models are easily developed by the professionals without requiring to develop the models from starting.
Source: HOB37656
Well-architected API on top of either Tensorflow or Theano and potentially extensible as a shim over other deep learning engines as well.
Source: HOB16479
Natural Language Processing (NLP) is a very important field in the present time. The present article is an amalgamation of some of the most useful books with some of the amazing YouTube videos available online which you can easily refer for NLP.
Source: HOB9834
Facebook's commitment to the wider dev community remains as strong as ever if recent developments are any indication.
Source: HOB6837
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. Here are some courses which will make you aware of everything about this technology.
Source: HOB7677
Each chapter focuses on a different area of deep learning. Chapters start with a refresher on the core principles, before sharing the code you need to implement them in PyTorch.
Source: HOB6447
Machine Learning is invading this world gradually and gradually. If we can develop a driverless car then it is Machine Learning.
Source: HOB7305
In this article, you will get to know some of the best frameworks to get you started with AI development.
Source: HOB7311
Accelerate your deep learning with PyTorch covering all the fundamentals of deep learning with a python-first framework.
Source: HOB5292
Fortunately, some brilliant minds have created and generously open-sourced several deep learning frameworks that can be easily integrated by people with little to no knowledge of machine learning technology.
Source: HOB5832
Here are some resources to learn deep learning frameworks.
Source: HOB6945
Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Here are some famous machine learning tools to learn from some famous books.
Source: HOB5667
Some Deep Learning Framework tutorials to which will boost your knowledge in this field.
Source: HOB5889
Data science in its very brief form is the science of drawing out insights and information out of raw data using a mixture of various tools, algorithms, and machine learning principles.
Source: HOB5271
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone especially your non-technical colleagues to take.
Source: HOB5778
Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.
Source: HOB5190
You will learn about the different deep learning models and build your first deep learning model using the Keras library.
Source: HOB4539
Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.
Source: HOB8892
Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.
Source: HOB5985
Learn how to use Python and its popular libraries such as NumPy and Pandas, as well as the PyTorch Deep Learning library.
Source: HOB4299
Password reset link has been sent to your mail
Thank you for your registration has been Successfully done.
