Home AI Courses Deep Neural Networks with PyTorch

Deep Neural Networks with PyTorch

(0 reviews)

Master the implementation of deep learning algorithms using PyTorch, covering Deep Neural Networks and machine learning techniques, along with Python library utilization, to construct and deploy deep neural networks effectively.

Key AI Functions:PyTorch,Deep Neural Networks,Python libraries,Deep Learning

Description

Reviews

Alternative Tools

Description for Deep Neural Networks with PyTorch

Demonstrate your understanding of deep learning algorithms and their implementation using Pytorch.

Describe and implement an understanding of Deep Neural Networks and associated machine learning techniques.

Explain the process of employing Python libraries, such as PyTorch, for Deep Learning applications.

Utilize PyTorch to construct deep neural networks.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by IBM

Duration: 30 hours (approximately)

Schedule: Flexible

Reviews for Deep Neural Networks with PyTorch

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Rust Programming Specialization

Data Science Methodology

Machine Learning Specialization

Foundations of Data Science: K-Means Clustering in Python

Data Processing Using Python

Alternative Tools for Deep Neural Networks with PyTorch

Deep Learning for Computer Vision Specialization

Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

#Anomaly Detection #Artificial Intelligence (AI)

Generative AI and LLMs: Architecture and Data Preparation

Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.

#Tokenization #Hugging Face

Machine Learning - An Introduction

Acquire practical skills in fundamental machine learning models and their applications using PyTorch, as utilized by leading tech companies.

#Convolutional Neural Network #Python Programming

Artificial Intelligence (AI) - An Introductory Course

Understand AI, its applications, concepts, ethical concerns, and receive expert career guidance.

#Artificial Intelligence (AI) #Data Science

Neural Networks and Deep Learning

The Deep Learning Specialization offers a comprehensive foundation in deep learning, practical skills in constructing neural networks, and prepares individuals to integrate machine learning into professional endeavors, advancing careers in AI.

#Artificial Neural Network #Backpropagation

Machine Learning Intro to Everyone

The course's topics including the distinction between deep learning, machine learning, and artificial intelligence, the process of developing machine learning models, the difference between supervised and unsupervised learning, and the use of metrics for evaluating classification models.

#Artificial Intelligence (AI) #Reinforcement Learning

IBM Data Science Professional Certificate

Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.

#Data Science #Big Data

IBM AI Engineering Professional Certificate

Begin your professional journey as an AI engineer. Master the art of generating business insights from large datasets by employing deep learning and machine learning models.

#Image Processing #Artificial Intelligence (AI)

ML on AWS: Introduction

Learn to differentiate between deep learning, machine learning, and artificial intelligence (AI), select the appropriate AWS machine learning service for specific use cases, and understand the process of developing, training, and deploying machine learning models.

#Artificial Intelligence (AI) #Machine Learning Models

ML Theory & Hands-on: Python Specialization

Learn to develop, assess, and enhance machine learning models using Python libraries, covering introductory deep learning, supervised, and unsupervised learning algorithms.

#Unsupervised Learning #Python Programming

Featured Tools

Rust Programming Specialization

Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.

#Computer Programming #Rust (Programming Language)