Keras Full Course for Beginners
-
Frank
- September 1, 2021
- deep learning and neural networks
- deep learning with keras
- deep learning with keras and tensorflow
- Keras
- keras example
- keras example python
- keras explained
- keras explanation
- keras full course
- keras full tutorial
- keras tutorial
- keras tutorial for beginners
- learn keras
- learn keras for deep neural networks
- learn keras from scratch
- learn keras python
- simplilearn
- simplilearn keras
- what are neural networks
- what is keras
- what is keras and tensorflow
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 […]
Read More
Text Classification Using BERT & Tensorflow
-
Frank
- August 29, 2021
- bert model
- bert model nlp python
- BERT text classification
- BERT tutorial
- deep learning tutorial
- deep learning tutorial for beginners
- kera tutorial
- neural network python tutorial
- python deep learning example
- python deep learning tensorflow
- python deep learning tutorial
- tensorflow 2.0 tutorial python
- tensorflow bert
- tensorflow bert tutorial
- tensorflow tutorial
- tensorflow tutorial for beginners
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.
Read More
‘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. […]
Read More
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, […]
Read More
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
Read More
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 […]
Read More
Google Bringing TensorFlow Lite into Play Services to Encourage On-Device ML in Android
AI at the edge is the new frontier and it offers a lot of advantages. Google is smart to leverage their position as a leader in AI and their strong position with Android. Given the processing power on most modern smartphones, it’s an underutilized resource. On-device machine learning offers a number of benefits from speed […]
Read More
Using Light and AI to Detect When Produce is Ripe
Here’s an interesting use of IoT and AI in agri-tech. A Turkish researcher has developed technology that uses data from a visible light sensor to identify the ripeness of produce. The project’s goal is to detect ripeness in fruit and vegetables by monitoring pigment changes, Hack A Day reports. Rather than use a camera, the project […]
Read More
Raspberry Pi Stops Package Thieves with AI and Flour
Tom’s Hardware higlights a practial use case of computer vision. You can explore the code used in this project at GitHub and find more cool projects on Ryder’s official YouTube channel. We feature many cool Raspberry Pi creations here at Tom’s Hardware and some of the best Raspberry Pi projects we’ve had the pleasure of […]
Read More
Use ML.NET to Score a Tensorflow Text Classification Model
Jon Wood recently streamed how to go over how to use a pre-trained TensorFlow model to predict sentiment within ML.NET.
Read More