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Areas Served: 1Cycle Learning Rate Scheduling with TensorFlow and Keras
Author(s): Jonathan Quijas Originally published on Towards AI. Machine Learning Engineering A Practical Methodology to Set the Most Important Hyperparameter in Deep Learning Photo by David Everett Strickler on Unsplash Problem Statement Training a Deep Neural Network can be a challenging task. …
Writing TFRecord Files the Right Way
Author(s): Dimitre Oliveira Originally published on Towards AI. Machine Learning How to properly generate TFRecord files from your datasets The TFRecord format is a simple format for storing a sequence of binary records. In this post you will learn why and when …
Sentiment Prediction of Google Play Store Reviews with Tensorflow 2.0
Author(s): Juan Manuel Ciro Torres Originally published on Towards AI. Photo by Austin Distel on Unsplash How to train your own algorithm to classify the sentiment of the reviews of your app from scratch You spend hours and hours creating your app, …
A Beginner’s Guide to Building a Conditional GAN.
Author(s): Pere Martra Originally published on Towards AI. A comprehensive guide to creating conditional GANs with TensorFlow, Python and Keras for imaging generation. Image generated by author using Dall.E 2 A GAN can be used to make images similar to those of …
How To Use TPUs in Kaggle / Google Colab To Train a GAN in the Blink of An Eye.
Author(s): Pere Martra Originally published on Towards AI. Looking to speed up your GAN training? In this article, I’ll show you how to utilize TPUs in Kaggle or Google Colab to drastically reduce training time, allowing you to generate high-quality images in …
How to make a GAN to generate color images.
Author(s): Pere Martra Originally published on Towards AI. In this article, we continue our journey through the exciting world of GANs and learn how Generative AI works with a Color Dataset. Image generated by Author using Dall-E-2 In the first article, we …
Improve Performance of the Deep Neural Model (Part-1)
Author(s): Akash Dawari Originally published on Towards AI. Note: Before you start reading this article please click the below link to see the code and different visualization graphs to better understand the article and the concepts. In this article, we will discuss …
What are the Sequences?
Author(s): Sanku Vishnu Darshan Originally published on Towards AI. The Vanishing Gradient Problem Photo by Icons8 team on Unsplash Hello, everyone, I welcome you to the Beginner’s Series in Deep Learning with TensorFlow and Keras. This guide will help you understand the …
Deploying a Keras Model as an API Using Flask
Author(s): Yan Gobeil Originally published on Towards AI. Using the flask library to deploy a language identifier Keras model into a web app and URL based API. Training a neural network to achieve a specific task is pretty fun and interesting, but …
Comparing Neural Network Architectures
Author(s): Yan Gobeil Originally published on Towards AI. Comparing NN architectures through a language classifier, using Google Colab After reading François Chollet’s wonderful book Deep Learning with Python I became curious about the different neural network architectures and which one is the …
Beginners Guide to Convolutional Neural Network from Scratch — Kuzushiji-MNIST
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Machine Learning Figure 1: Convolutional Neural Network (Source: https://en.wikipedia.org/wiki/Convolutional_neural_network) In the previous post, which you can check it out here, I have demonstrated various dimensional reduction techniques on Kuzushiji-MNIST (KMNIST) data set. In this …
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