After downloading starter packs & performing one-time setup for one of the Docker hosted web app providers, You can quickly deploy your Computer Vision model created in fast.ai or keras libraries as a responsive web app, all in less than 10–15 minutes. UPDATES on August 23rd, 2020: The world has…

Fast.AI Course Practical Deep Learning for Coders -version 3 was kicked off this Monday night by Jeremy and Rachel. I was fortunate enough to join this live streaming event on Youtube with 1000 of other students across the globe. In the first lesson, Jeremy used Oxford-IIIT Pet Dataset by O…

In this notebook, we will build a simple multilayer perceptron, basic building block for Neural Networks, with TensorFlow. We are using MNIST example dataset provided by default with TensorFlow package. Here are the hyper parameters we choose to run initial model: learning_rate = 0.001 training_epochs = 10 batch_size = 256 …

Here is a simple logistic regression model built with TensorFlow. We are using MNIST Image example data set which is provided by default with Tensorflow package. Here are the hyperparameters we choose to run initial model: learning_rate = 0.01 training_epochs = 20 batch_size = 128 We achieved impressive 90.8% accuracy…

In this article, we will be learning “How to do interactive programming in Browsers via Jupyter Notebook” and will be covering: What are Jupyter Notebooks? Why Jupyter Notebook? Installing & Launching Jupyter Notebook Quick Introduction to Notebook Interface Code & Markdown Cells CheatSheet of Notebook Keyboard Shortcuts Perform Special Operations…

In this Article we will be installing Anaconda, managing python packages, creating individual conda environments and sharing them via conda YAML file. We will be covering most of these topics in following order: What is Anaconda & Why Should I bother about it? Installing Anaconda Creating Environments via Conda Managing…

A simple linear regression model builds with TensorFlow. We are using fake data and using numpy arrays to supply them to TensorFlow. Here are the hyperparameters we choose to run initial model: learning_rate = 0.01 training_epochs = 1000 display_step = 50 We achieved 0.079 training loss cost in 1000 epochs…

A must have for Deep Learning, Machine Learning & any kind of data science learnings you will do — In this simple project, We will create Linear regression algorithm and build a simple but robust model from scratch in python. After that, we will use this model to predict Blood Sugar of Diabetes Patient from their BMI data. Read more about Body Mass Index and how it impacts people…