SKILL PATH

Neural Networks: Beginners to Advanced

This path is for beginners learning neural networks for the first time. It starts with basic concepts and moves toward advanced topics with practical examples. This path is one of the best options for learning neural networks. It has many examples of image classification and identification using MNIST datasets. We will use different libraries such as NumPy, Keras, and PyTorch in our modules. This path enables us to implement neural networks, GAN, CNN, GNN, RNN, SqueezeNet, and ResNet.

Neural Networks: Beginners to Advanced
What Our Learners Say

Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.

Felipe Matheus
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I highly recommend Educative. The courses are well organized and easy to understand.

Adina Ong
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I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
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I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
TestimonialsImg
What Our Learners Say

Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.

Felipe Matheus
TestimonialsImg

I highly recommend Educative. The courses are well organized and easy to understand.

Adina Ong
TestimonialsImg

I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
TestimonialsImg