Below you can find the best neural network courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best neural network course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
Probably the highest acclaimed course on the internet in regards to Deep Learning. Deep learning is the driver of most machine learning and AI implementations that we see happening in the world. A student that enrolls in this course will build and apply their own neural networks to tackle challenges put forth by the course creators. For anybody that wants to step into the world of AI, this is a great starting point. More information
This udacity course covers a whole lot of different programming languages (Pyton, Pytorhc, Matplotlib, NumPy, and more) with the aim of giving you the foundation to build your own neural network. Python will take up the bulk of the program, given that its the core of AI programming. Having finished this course, you will be able to start a career in AI.
"Neural Networks and Deep Learning" by Coursera is an excellent course that helps you understand the major technology trends in Deep Learning and teaches your how to build, train, and implement neural networks. This is more than a surface-level course, diving deep into the fundamentals of what makes Deep Learning work. More information
In this course, you will get to understand what makes deep learning work. No longer will you see it as a black box. After this course, students will understand what drives good performance of a deep learning model and be able to work on neural networks using initialization, L2 regularization, batch normalization, and so forth. During this all, TensorFlow will be used and taught to the student. More information
This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recogni More information
An in-depth course on Deep Learning Specialization is available now for intermediate students. This course will cover on building and training Recurrent Neural Networks, how to apply sequence models to natural language problems, audio applications and speech recognition. After this great Coursera course has been completed, students will have an opportunity to build a deep learning project with relevant content. More information
Choose this company if you want to learn how to make deep learning algorithms in Python. There are skilled and experienced individuals who provide templates, tutorials and discussions on machine learning and data science. Having wrapped up the program, the student will be able to apply concepts and skills learned.
For intermediate and advanced programming students, be sure to take this course today. This course provides a clear understanding of data science, deep learning and machine learning which is important in creating Real-World applications. Having wrapped up the program, expect to create your own application without much difficulty as well as learning more about deep neural networks and advanced architectures. More information
Artificial intelligence or AI is already enhanced and innovated at present and has made life more convenient for a lot of people. That is why learning about the neural network is essential not only for the mind, but for the technological aspect as well. Take this hands-on course and learn various techniques on how to use these advance machines as well as knowing the study of human cognition. More information
Artificial intelligence is already enhanced and innovated at present and has made life more convenient for a lot of people. That is why learning about the neural network is essential not only for the mind, but for the technological aspect as well. Take this hands-on course and learn various techniques on how to use these advance machines to make life easier.
Want to learn more about Computational Neuroscience than this is a course for you. You will use programs like Matlab, Octave, and Python to learn about the representation of information by spiking neurons, processing of information in neural networks and algorithms for adaptation and learning. This course is aimed at people with some knowledge of the matter at hands.
Pluralsigh offers a great course on Machine Learning with ENCOG. You will learn advanced topics related to machine learning from more accurate neural network predictive models. You will also learn different types of neural networks and their implementations using open source machine learning framework ENCOG.
If you are an expert in linear regression, logistic regression, gradient descent for linear models this course is just for you, it will help you expand on these topics of deep learning. The goal of this course is to give learners a basic understanding of modern neural networks and their applications in computer vision and natural language understanding