Problem Formulation Say, you try to import label_map_util from the utils module when running TensorFlow’s object_detection API. You get the following error message: 💬 Question: How to fix the ModuleNotFoundError: No module named ‘utils’? Solution Idea 1: Fix the Import Statement The most common source of the error is that you use the expression from … Read more
Quick Fix: Python raises the ImportError: No module named ‘keras’ when it cannot find the TensorFlow library that also contains the keras module. To fix it, install TensorFlow using PIP and import Keras using from tensorflow import keras, and not import keras. Here’s how to install TensorFlow if you haven’t already: Here’s how you correctly … Read more
Is TensorFlow Better Than PyTorch? Since PyTorch made its way into the machine learning sphere in 2016, loyalists from both camps have sung the praises of their framework of choice. Today, curious minds such as yourself are looking through page after page to find out which one is worth your valuable time and effort. Both … Read more
Are you interested in Python but you don’t know which Python library is most attractive from a career point of view? Well, you should focus on the library you’re most excited about. But if you’re generally open because you have multiple passions, it would be reasonable to also consider annual and hourly income. These are … Read more
Related Article: Keras Developer — Income and Opportunity PyTorch Developer — Income and Opportunity Before we learn about the money, let’s get this question out of the way: What Is TensorFlow? Let’s have a look at the definition from the official TensorFlow website: “An end-to-end open source machine learning platform. The core open source library … Read more
TensorFlow is one of the most popular open-source libraries for machine learning and deep neural networks in Python—initiated by the machine learning engineers at Google! Problem Formulation: Given a PyCharm project. How to install the TensorFlow library in your project within a virtual environment or globally? Here’s a solution that always works: Open File > … Read more
This tutorial is about training deep learning (DL) models to classify Star Wars Lego images. We use the TensorFlow library to create and compare the image classifiers. Are you looking for interesting deep learning projects that are suitable for beginners? Do not worry, this is not another MNIST image classification tutorial. Instead, we are going … Read more
Problem Formulation Given a TensorFlow variable created with tf.Variable(). As this variable may have changed during the training process (e.g., using assign()), you want to get the current value of it. How to accomplish this in TensorFlow? Sessions Are Gone in TensorFlow 2 In TensorFlow 1, computations were performed within Sessions. That’s why many people … Read more
There are two ways to convert a Tensor to a NumPy array: TensorFlow version 2.x — use tensor.numpy() TensorFlow version 1.x — use tensor.eval(session=tf.compat.v1.Session()) Let’s dive into these two methods in greater detail. Method 1: Explicit Tensor to NumPy Array Conversion in TensorFlow 2.x To convert a tensor t to a NumPy array in TensorFlow … Read more
To check your TensorFlow version in your Jupyter Notebook such as Google’s Colab, use the following two commands: import tensorflow as tf This imports the TensorFlow library and stores it in the variable named tf. print(tf.__version__) This prints the installed TensorFlow version number in the format x.y.z. The following code example uses the dunder attribute … Read more
If you are a machine learning practitioner you might have come across the TensorFlow library. TensorFlow is a popular machine learning library and finds its use in a lot of AI and machine learning applications. In this tutorial you will learn How to install TensorFlow in a virtual environment How to activate your environment in … Read more
Machine Learning (ML) is a sought-after skill in today’s automated world. Google is one of the key players in the Machine Learning space. With the growing scale and popularity of deep learning, the limitations of a single machine become more and more pronounced. Motivation Training a model on a single computer can take a long … Read more