YoVDO

Advanced PyTorch and TensorFlow Deep Learning with QML and QiML Layers

Offered By: ChemicalQDevice via YouTube

Tags

Quantum Machine Learning Courses Deep Learning Courses Neural Networks Courses TensorFlow Courses Quantum Computing Courses PyTorch Courses Qiskit Courses QML Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore advanced techniques for integrating quantum algorithms into machine learning frameworks in this comprehensive 1-hour presentation. Learn practical methods to incorporate quantum 'layers' into PyTorch and Keras platforms through benchmarking quantum simulators, strategically inserting layers into neural networks, and discovering other potential applications. Access example notebooks using Qiskit and PennyLane to gain hands-on experience with quantum machine learning concepts. Dive into the intersection of quantum computing and deep learning to unlock innovative approaches for solving complex problems in both fields.

Syllabus

Advanced PyTorch, TensorFlow Deep Learning with QML,QiML Layers


Taught by

ChemicalQDevice

Related Courses

Cloud Quantum Computing Essentials
LinkedIn Learning
Quantum Machine Learning (with IBM Quantum Research)
openHPI
A Classical Algorithm Framework for Dequantizing Quantum Machine Learning
Simons Institute via YouTube
Quantum Machine Learning- Prospects and Challenges
Simons Institute via YouTube
Sampling-Based Sublinear Low-Rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning
Association for Computing Machinery (ACM) via YouTube