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Areas Served: TensorFlow: Speed Up NumPy by over 10,000x with GPUs
Author(s): Louis Chan Originally published on Towards AI. Code Photo by Marc-Olivier Jodoin on Unsplash If you have used Python for any data processing, you have most likely used NumPy (short for Numerical Python). It provides a rich arsenal of complex data …
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 …
Why Tensorflow is a great choice for building projects powered by Computer Vision
Author(s): Nour Islam Mokhtari Originally published on Towards AI. Explained by an AI engineer who works on Computer Vision applications Join hundreds of subscribers to my weekly newsletter if you’re interested in learning and staying up-to-date with what’s happening in the field …
TensorFlow to CoreML Conversion and Model Inspection
Author(s): Mirek Stanek Originally published on Towards AI. Converting TF models to CoreML, an iOS-friendly format This post was originally published at thinkmobile.dev — a blog about implementing intelligent solutions in mobile apps (link to article). While TensorFlow Lite seems to be …
Build TensorFlow Lite Model with Firebase AutoML Vision Edge
Author(s): Mirek Stanek Originally published on Towards AI. Train first image classification model with Firebase ML Kit This post was originally published at thinkmobile.dev — a blog about implementing intelligent solutions in mobile apps (link to article). For more than a year …
Exploring Deep Dream using Tensorflow 2.0
Author(s): Abhinav Prakash Originally published on Towards AI. Diving Into Deep Dream using Tensorflow | Towards AI Deep Dream Using Tensorflow My image which generated by Deep Dream. Whenever any person hears about Deep Learning or Neural Network the things which first …
Tf.estimator, a Tensorflow High-level API
Author(s): Abhinav Prakash Originally published on Towards AI. Now Tensorflow 2.0 has been officially released and it’s having two high-level deep learning APIs.The first one is tf.keras and another one is tf.estimator. You can see the list of TensorFlow’s Python API in …
Free ObjDetection API from EazyMind
Author(s): amr zaki Originally published on Towards AI. Object Detection Tutorial, Part I | Towards AI This tutorial series goes through the different APIs that EazyMind (an Ai-As-A-Service platform) offers. EazyMind offers multiple AI services for Free; Obj Detection is one of …
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, …
Tensorflow Cheat Sheet: Say Hi to Deep Learning!
Author(s): Gencay I. Originally published on Towards AI. Simplify Your Deep Learning Journey with Our Comprehensive TensorFlow Cheat Sheet for Python. – Created in Canvas- Image by Author Are you looking to master deep learning with TensorFlow? Whether you’re a beginner or …
Using a Keras Tuner for Hyperparameter Tuning of a TensorFlow Model
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Use of Hyperband Tuner with Complete Code Photo by Will Francis on Unsplash TensorFlow can be highly efficient, but the process of finding the right parameters can be very tiring and tedious. On …
TensorFlow OCR Model for Reading Captchas
Author(s): Rokas Liuberskis Originally published on Towards AI. Training a Custom OCR for Captcha Image Text Extraction with TensorFlow and CTC Loss Function: A Step-by-Step Guide. Using the mltu Library to Simplify the Process https://www.youtube.com/embed/z_6P0PilBmM The Most Advanced Data Science Roadmaps You’ve …
Text Classification using Bag of Words and TF-IDF with TensorFlow
Author(s): Chetan Ambi Originally published on Towards AI. Bag of Words model Image by author Table of Contents · Overview· Quick recap· Import libraries· Import dataset and EDA· Train test split · Text feature extraction· Model ∘ Bag of Words model ∘ …
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 …
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