The Geek's Diary

Category: Tensorflow

  • How To: Super Fast Tensorflow 2 Setup with GPU Support in VS Code

    I am publishing this article in response to a comment I received on How To: Setup Tensorflow With GPU Support using Docker article. Docker is all good and nice but all of us agree that we use IDEs (integrated dev environment – think VSCode) on our machines. So let’s say you want to get the…

  • Building Your First Neural Network with TensorFlow – Deep Learning 2

    Building Your First Neural Network with TensorFlow – Deep Learning 2

    Neural networks are a fundamental concept in deep learning and are used for a wide range of applications such as image and speech recognition, natural language processing, and much more. In this article, we will walk you through the process of building your first neural network using TensorFlow, a popular open-source machine learning library. We’ll…

  • Introduction to Deep Learning with TensorFlow – Deep Learning 1

    Introduction to Deep Learning with TensorFlow – Deep Learning 1

    In this article, we provide an introduction to deep learning with TensorFlow. We cover what deep learning is, what it can do, why TensorFlow is a great choice for deep learning, and an overview of TensorFlow itself. We also explore the different types of neural networks used in deep learning, and demonstrate how to build…

  • How To: Setup Tensorflow With GPU Support using Docker

    How To: Setup Tensorflow With GPU Support using Docker

    Previously I published a guide for setting up tensorflow in an anconda environment with GPU support. A lot of people liked it and I have been working with this environment myself for more than a year now. I am happy with the results however the process is a bit involved and requires quite a bit…

  • How To: Setup Tensorflow With GPU Support in Windows 11

    How To: Setup Tensorflow With GPU Support in Windows 11

    It’s been just 2 days since Windows 11 came out and I am already setting up my system for the ultimate machine learning environment. Today we are going to setup a new anaconda environment with tensorflow 2.5 with GPU support using NVIDIA CUDA 11.4 and CUDNN 8.2.4 along with Python 3.8. This is going to…