TensorFlow

Computer Vision TensorFlow

Tensorflow Object Detection in 5 Hours with Python

Want to get up to speed on AI powered Object Detection but not sure where to start? Want to start building your own deep learning Object Detection models? This is the course you need! In this course, you’ll learn everything you need to know to go from beginner to practitioner when it comes to deep […]

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Computer Vision Raspberry Pi TensorFlow

Introduction to object detection on Raspberry Pi

In the first episode of Machine Learning for Raspberry Pi, learn how to download a pre-trained TensorFlow Lite object detection model and deploy it to your Raspberry Pi. This model can be used to recognize general objects such as an apple, a television, or a car.

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Javascript TensorFlow

Finishing the Tensorflow.js Autoencoder project

The Coding Train wraps up his series on the TensorFlow.js autoencoder.

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Machine Learning TensorFlow

Keras Full Course for Beginners

Keras is a high-level, deep learning API developed by Google for implementing neural networks. Written in Python, it is used to make the implementation of neural networks easy. Keras is relatively easy to learn and work with because it provides a python frontend with a high level of abstraction while having the option of multiple […]

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Natural Language Processing TensorFlow

Text Classification Using BERT & Tensorflow

Using BERT and Tensorflow 2.0, we will write simple code to classify emails as spam or not spam. BERT will be used to generate sentence encoding for all emails and after that we will use a simple neural network with one drop out layer and one output layer.

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University of Tübingen Researchers Open-Source ‘CARLA’, A Python Library for Benchmarking Counterfactual Explanation Methods Across Data Sets and Machine Learning Models
AI Python TensorFlow

‘CARLA’ Python Library for Benchmarking Counterfactual Explanation Methods Across Data Sets and Machine Learning Models

Researchers at the University of Tübingen are unveiling a new python library CARLA (Counterfactual And Recourse LibrAry) which will allow for benchmarking counterfactual explanation methods across different data sets and machines. CARLA is an innovative open-source library that allows researchers to benchmark predictive counterfactual explanation and recourse CE methods for managing uncertainty in their analyses. […]

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TensorFlow

How to make TensorFlow models run faster on GPUs

XLA compilation on GPU can greatly boost the performance of your models, Learn how to use @tf.function(jit_compile=True) in TensorFlow to control what exact scopes are being compiled, and how to debug the performance of the resulting program. We’ll cover writing compiled models, debugging them, and exploring the performance characteristics and optimizations the XLA compiler performs, […]

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7 Machine Learning Libraries for Aspiring Experts
TensorFlow

7 Machine Learning Libraries for Aspiring Experts

Machine learning has become the center of discussion in artificial intelligence today. It touches all fields, including engineering, medicine, business, social science, and just about everything else. Here’s a list of the most important libraries as compiled by www.makeuseof.com

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Top 10 Tools a Data Scientist should Know about in 2021
Data Science TensorFlow

Top 10 Tools a Data Scientist should Know about in 2021

The work of a data scientist is never done. The work of crafting top 10 lists for data scientist is also never done. Top 10 tools a data scientist should use in 2021 The work of a data scientist centers around the process of extraction of meaningful data from unstructured information and analyzing that data […]

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