All current Gradient Descent Courses courses in 2024
27 Courses

RNN Architecture and Sentiment Classification
Title: RNN Architecture and Sentiment Classification
Description: Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exerci.

Deep Learning: Recurrent Neural Networks with Python
Deep Learning: Recurrent Neural Networks with Python
With the exponential growth of user-generated data, mastering RNNs is essential for deep learning engineers to perform tasks like classification and prediction. Architectures such as RNNs, GRUs, and LSTMs are top choices, making mastering RNNs a priority.
This course starts with the basics an.

Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow
Yapay Zeka ve Derin Öğrenme A-Z™: Tensorflow
Google Tensorflow ile Python dilinde makine öğrenimi, yapay sinir ağları ve deep learning programları geliştirin. Bu kapsamlı kurs, Udemy tarafından sunulmaktadır ve meraklılarına derin öğrenme ve makine öğrenimi alanında güçlü bir temel sağlayacaktır.
Üniversite: Udemy
Kategoriler:
Python.

How Neural Networks Learn: Exploring Architecture, Gradient Descent, and Backpropagation
How Neural Networks Learn: Exploring Architecture, Gradient Descent, and Backpropagation
Neural networks drive many artificial intelligence applications today. This course will teach you what’s behind the magic—the dynamics of training neural networks, including backpropagation, gradient descent, and how to optimize network performance. So, you.

Introduction to Neural Networks with PyTorch
Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
University: Udacity
Provider: Udacity
Python Courses
Computer Vision.

Introduction to Neural Networks with TensorFlow
Introduction to Neural Networks with TensorFlow | Udacity
Master the basics of neural networks using Python and TensorFlow, and apply your knowledge to build a functional image classifier. This course guides you through training a deep learning model on an image dataset and deploying it to classify new images.
University: Udacity
Categories: Pyt.

Deep Learning: Getting Started
Deep Learning: Getting Started | LinkedIn Learning Course
Deep Learning: Getting Started
Provider: LinkedIn Learning
Jump into the world of deep learning with our introductory course. Learn the foundational concepts, including linear regression and gradient descent, to build a solid understanding and s.

Neural Networks e Deep Learning para Leigos: Sem Mistérios!
Neural Networks e Deep Learning para Leigos: Sem Mistérios!
Aprenda de forma fácil e intuitiva o que são e como funcionam as redes neurais artificiais.
Provider: Udemy
Categories: Deep Learning Courses, Gradient Descent Courses

Redes Neurais Artificiais em Python
Redes Neurais Artificiais em Python | Udemy
Aprenda na teoria e na prática os fundamentos das redes neurais em Python e entre para o mundo do Deep Learning com nosso curso completo oferecido pela Udemy!
Categories: Python Courses, Deep Learning Courses, scikit-learn Courses, NumPy Courses, Gradient Descent Courses

Neuronales Netz von Scratch
Neuronales Netz von Scratch | Coursera
Lernen Sie, wie Sie ein neuronales Netz von Grund auf erstellen in diesem umfassenden Kurs auf Coursera. Tauchen Sie tief in die Welt der neuronalen Netze ein und erwerben Sie die notwendigen mathematischen und programmiertechnischen Fähigkeiten. Der Kurs umfasst wichtige Themen wie Gradient Descent und mehr.