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Tag: DL

Paperspace – The Cloud Platform Built for the Future

16.02.2020

Meet Paperspace – company that offers an effortless way to access and manage limitless computing power in the cloud Revenue: 23 M Location: New York, USA Founded: 2014 Specialties: Artificial Intelligence, Cloud Computing, Enterprise Software, GPU, Machine Learning Whether you’re a data scientist, a machine learning enthusiast, a researcher, or a professional, organizing your work environment can be very complex and distracting process. Even when you’re done dealing with installation and version compatibility issues, you’ll…
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#011 TF How to improve the model performance with Data Augmentation?

16.02.2020

Highlights: In this post we will show the benefits of data augmentation techniques as a way to improve performance of a model. This method will be very beneficial when we do not have enough data at our disposal. Tutorial Overview: Training without data augmentation What is data augmentation? Training with data augmentation Visualization 1. Training without data augmentation A familiar question is “why should we use data augmentation?”. So, let’s see the answer. In order…
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Top 10 Machine Learning Videos on Youtube

11.02.2020

So you want to understand what machine learning is in order to master the field, well guess what? Out there are numerous lectures and free video tutorials and available on the internet along with a reference guide. We will provide you with our top 10 popular resources available on Youtube. #1 CS50 CS50 is a popular channel that uploads regular and well-structured machine learning lectures along with different talks and lectures from Harvard University. #2…
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#007 TF 2.0 An implementation of a Shallow Neural Network in tf.keras – Spirals dataset

20.01.2020

Highlights: In this post we will see how we can classify a spirals dataset with a shallow neural network implemented in TensorFlow 2.0. Tutorial Overview: Imports and Dataset preparation Building a Neural Network Visualization 1. Dataset: import and preparation Let’s start by importing libraries that we will need in our code. Last time we were using a function from sklearn to create a dataset. Now we are going to make our dataset from scratch. First,…
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#006 TF 2.0 An implementation of a Shallow Neural Network in tf.keras – Moons dataset

20.01.2020

In this post we will learn how to make a classification of Moons dataset with a shallow Neural network. The Neural Net we will implemented in TensorFlow 2.0 using Keras API. With the following code we are going to import all libraries that we will need. First, we will generate a random dataset, then we will split it into train and test set. We will also print dimensions of these datasets. With the following code…
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