Transfer Learning with KERAS
Author(s): Deep Patel Learning is a never-ending process, but it’s more important to use previously gained knowledge in a new experiment. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Introduction to Word Embeddings
Author(s): Bharat Choudhary Implementation of word embedding using deep learning for Natural Language processing. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding LSTMs and GRUs
Author(s): Daksh Trehan A perfect guide to Long Short term Memory & Gated Recurrent Units. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Recurrent Neural Network with LSTM
Author(s): Deep Patel Starting from scratch, this blog will help you knowing RNN at its peak in the easiest way along with the importance of LSTM. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding GANs
Author(s): Shweta Baranwal Photo from https://wallpaperaccess.com/ Deep Learning GANs (Generative Adversarial Networks) are a class of models where images are translated from one distribution to another. GANs are helpful in various use-cases, for example: enhancing image quality, photograph editing, image-to-image translation, clothing …
The Limits of Deep Learning
Author(s): Frederik Bussler Deep Learning Big compute needs limit performance, calling for more efficiency. Photo by Luca Ambrosi on Unsplash GPT-3, the latest state-of-the-art in Deep Learning, achieved incredible results in a range of language tasks without additional training. The main difference between …
Recurrent Neural Networks for Dummies
Author(s): Daksh Trehan A perfect guide to Recurrent Neural Networks Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
History of Neural Network! From Neurobiologists to Mathematicians.
Author(s): Ali Ghandi Deep Learning History of Neural Networks! From Neurobiologists to Mathematicians. If you are familiar with Neural Networks and Deep learning, you might wonder what the relation between Neurons and the brain and these networks is. It seems they are …
Convolutional Neural Network (CNN) in the Easiest Way
Author(s): Deep Patel CNN is easy way to deal with complex image data, it plays a major role in our lives, from facial recognition and analyzing docs to object… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Architecture and Implementation of LeNet-5
Author(s): Vaibhav Khandelwal Deep Learning Demystifying the oldest Neural Network Architecture of LeNet-5 Photo from Faz.net This very old neural network architecture was developed in 1998 by a French-American computer scientist Yann André LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner. This architecture was …
Google Stock prediction using Multivariate LSTM
Author(s): Michelangiolo Mazzeschi Using a Vanilla LSTM to predict Google Stock prices Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Digit Classification using Tensorflow, Keras
Author(s): Michelangiolo Mazzeschi Full code available at my repo. Sources at this link. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Building a super-resolution image web-app
Author(s): Aanisha Bhattacharyya This is a web-app trained on SRCNN model. On giving an image as input, it reconstructs a higher resolution image of the same. I made this… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Convolutional Neural Networks for Dummies
Author(s): Daksh Trehan Deep Learning, Computer Vision A perfect guide to Convolution Neural Networks A notification pops on your Social media handle saying, somebody uploaded a picture that might have you in it. Boom! How did it happen? Photo by Patrick Fore on Unsplash This is the …
Understanding the Universal Approximation Theorem
Author(s): Shiva Sankeerth Reddy Deep Learning Photo by Jeremy Thomas on Unsplash Let us take some time to understand the importance of Neural Networks Neural networks are one of the most beautiful programming paradigms ever invented. In the conventional approach to programming, we tell …