How to Predict Stock Prices with LSTM
Author(s): George Pipis A Practical Example of Stock Prices Predictions with LSTM using Keras TensorFlow Continue reading on Towards AI » Published via Towards AI …
Bitcoin Price Prediction with LSTM using Q Blocks (Part II)
Author(s): Michelangiolo Mazzeschi Guide to using Q Blocks GPU Continue reading on Towards AI » Published via Towards AI …
Installing Pytorch with CUDA support on Windows 10
Author(s): Eugenia Anello Configure a Conda environment in Pycharm to enable the use of CUDA Continue reading on Towards AI » Published via Towards AI …
Neural Architecture Search (NAS) and Reinforcement Learning (RL)
Author(s): Arjun Ghosh Deep Learning Computer vision, and more specifically in classification tasks, are among the most popular deep learning techniques. Convolution Neural Network (CNN) particularly popular in the computer vision field of machine learning. CNN particularity lies in the selective connection …
Tesseract OCR for Text Localisation and Detection
Author(s): Sharon Lim Automating the extraction of useful information from PDF files Continue reading on Towards AI » Published via Towards AI …
Understand TensorFlow Basic with Python
Author(s): Amit Chauhan Basic terminologies used in TensorFlow Continue reading on Towards AI » Published via Towards AI …
Time-Series Forecasting: Predicting Stock Prices Using An LSTM Model
Author(s): Serafeim Loukas In this post I show you how to predict stock prices using a forecasting LSTM model Continue reading on Towards AI » Published via Towards AI …
PrivacyRaven: Comprehensive Privacy Testing for Deep Learning
Author(s): Bala Priya C Deep Learning, Privacy and Security Summary of talk from OpenMined PriCon 2020 Photo by Markus Spiske on Unsplash This is a summary of Suha S. Hussain’s talk in OpenMined Privacy Conference 2020 on PrivacyRaven — a comprehensive testing framework for simulating privacy attacks. Why …
The Clash of Generative Models
Author(s): Tim Cvetko Breaking two of the most popular modern generative models by their core Continue reading on Towards AI » Published via Towards AI …
Spoken Language Recognition Using Convolutional Neural Networks
Author(s): Joscha Simon Rieber Automatically identify the spoken language from a speech audio signal with TensorFlow Photo by Su San Lee on Unsplash Introduction Applications At Fraunhofer IAIS, we work on various speech technologies such as automatic speech recognition, speaker recognition, etc. In …
Let’s Compress the CNN Training Like a JPEG Compression
Author(s): Makoto TAKAMATSU State-of-the-art data preprocessing methods Continue reading on Towards AI » Published via Towards AI …
How To Build Your Own Neural Network in the Go Programming Language
Author(s): Dasaradh S K Let’s build a simple neural network completely from scratch Continue reading on Towards AI » Published via Towards AI …
State of the Art Convolutional Neural Networks (CNNs) Explained — DenseNets
Author(s): Louis (What’s AI) Bouchard Facial recognition, targeted ads, and image recognition all have one thing in common. Continue reading on Towards AI » Published via Towards AI …
Convolutional Neural Networks (CNNs) Tutorial with Python
Author(s): Towards AI Team Source: Pixabay Convolutional Neural Networks (CNNs) Tutorial with Python An in-depth tutorial on convolutional neural networks (CNNs) with Python Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as well on Google Colab. …
Working with PyTorch Tensors
Author(s): Bala Priya C Some useful tensor manipulation operations Photo by Annie Spratt on Unsplash As we know, PyTorch is a popular, open source ML framework and an optimized tensor library developed by researchers at Facebook AI, used widely in deep learning and …
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