Cassandra_ IntroductionOne of the most popular NoSQL databases is Apache Cassandra. Apache Cassandra is an open-source, distributed, decentralized/distributed…Sep 13, 2022Sep 13, 2022
Stochastic Gradient Descent (SGD) using Fastai for a linear model and MNIST datasetThis post is based on the course offered by Jeremy Howard and Rachel Thomas (https://course.fast.ai/). The material for this course is a…Mar 26, 2021Mar 26, 2021
A quick summary of built-in methods for training and evaluation in TensorFlowWhen we take a data set, it should be split into two sets, the training set and the test set. Most of the time near %80 of the data set…Mar 1, 2021Mar 1, 2021
A general overview of neural networkTo understand deep learning, we initially need to understand a single biological neuron or perceptron model. Then, this idea can be…Feb 24, 2021Feb 24, 2021
Linear Fit using Gradient Descent with NumpyHere, we apply the Gradient Descent method for line fitting (one of the simplest models) which is just a specific application of Gradient…Feb 17, 2021Feb 17, 2021
Numpy Vs. TensorflowHere I am writing about the most interesting differences and similarities between Numpy and TensorFlow. I will update this post as I am…Feb 11, 2021Feb 11, 2021
Deep Learning for coders course (fast.ai) — Develop an Image Classifier Using FastaiThis post is based on the course offered by Jeremy Howard and Rachel Thomas (https://course.fast.ai/). The material for this course is a…Nov 12, 2020Nov 12, 2020
Deep Learning for coders course (fast.ai) — Lesson 1It is my summary and classification note (lesson 1) of the deep learning course. This course is offered by Jeremy Howard and Rachel Thomas…Nov 6, 2020Nov 6, 2020
