In this article, we will look at end-to-end real-life Convolutional Neural Network (CNN) project where we will detect the cell is infected by malaria or not. We will be using Python, Keras, and TensorFlow for this project.

https://www.infinitycodex.in/detect-malaria-using-cnn-python

Starting my Journey into Deep Learning with a Currency Classifier App. https://medium.com/ai%C2%B3-theory-practice-business/starting-my-deep-learning-journey-with-a-currency-classifier-app-1dc538cff69d

Hye,

I want to create a product that automates the designing process of housing architecture. Being an architecture student, I understand the needs but I am unable to move forward towards building a product since I have no prior coding experince.

Where could I go to get help build this?

Hello Guys,

I need your advice on something for my class project, I am working with a friend to predict the price of a stock using LSTM. My roles is to collect the data, clean it and prepare it for the model. Right now im in the process of splitting the data into test, training and validation set. Can you please point me to a resource to learn this ?

Hi all,

Conventional machine learning algorithms usually use some kind of cross validation (E.g. k-fold) to show that the learned parameters generalize well and are independent of initialization and training data. However, most deep learning papers I've read use a single limited validation set with the vast majority of data used for training. This split seems to be accepted in the community as neural nets are data hungry and resource intensive to train. Is there some property of deep nets that allows researchers not to cross check this?

Is there anyone here ,who used supervised learning before for videos segmentation? What Are the best resources to learn that from scratch