Hey everyone !!
You have reached the blogposts of DeepNeuralNet which delivers quality content on machine learning. Since now deeplearning has been getting attention like never before, we have decided to demystify it for everyone interested in learning it. So if you are feeling overwhelmed by all the advancements made in the field of deep learning take a deep breath and relax as we are going to journey into the field of deep learning step by step.
We have put forth the curriculum that will be covered over the span of the next few weeks in this blog post.
- Web/App development
- WORDLE Clone : WORDLE clone made using R Shiny.
- Deep Learning
- Shallow Neural Networks
- Post1 – part A : Forward Propagation of neural networks.
- Post1 – part B : Back propagation of fully connected neural networks.
- Post1 – part C : Training a 3 layer neural network on MNIST handwritten dataset.
- Convolutional Neural Networks
- Convolutional Neural Network – Part 1 : Implementing fast convolutions.
- CNN using Keras to classify CIFAR 10 dataset.
- General backpropagation
- Autogradients : Automatic computation of gradients tutorial.
- Shallow Neural Networks
- Neural Nets in 10 lines of code
- Classical Machine Learning algorithms
Machine Learning 