Best of Neural Networks — February 2023

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   Article

   KDnuggets·3y

   Free TensorFlow 2.0 Complete Course

   Free TensorFlow 2.0 Complete Course is a tutorial for beginner python programmers interested in machine learning and neural networks using TensorFlow 2.0. The course covers fundamental concepts in ML & AI such as core learning algorithms, deep learning with neural networks, computer vision with convolutional neural networks, natural language processing with recurrent neural networks, and reinforcement learning. It requires basic knowledge of programming using Python and has a duration of 7 hours.

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2. 2
   Article

   Towards AI·3y

   A Cheat Sheet to Deep Learning Algorithms: Types, Applications, and Examples

   Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks. There are three main types of deep learning algorithms: supervised, unsupervised, and semi-supervised. The right algorithm for a specific problem will depend on the characteristics of the data and the complexity of the task.

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3. 3
   Article

   KDnuggets·3y

   10 Free Machine Learning Courses from Top Universities

   Machine learning is a rapidly growing field that is revolutionizing many industries, including healthcare, finance, and technology. There are many high-quality courses available online, offered by some of the top universities in the world. In this article, we’ll introduce you to 10 free machine learning courses from top universities.

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4. 4
   Article

   freeCodeCamp·3y

   How to Use TensorFlow for Deep Learning – Basics for Beginners

   TensorFlow is a powerful library for building and training deep learning models. It can handle any type of data and feed it to machine learning models. TensorFlow supports a wide range of hardware and has a high-level API called Keras. In this article, you will learn about tensors, how to build and generate them, and perform basic operations using TensorFlow.

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