Neural Networks Courses

Convolutional Neural Networks for Visual Recognition (Spring 2017)

5 reviews

This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.

• YouTube
• 20 hours worth of material
• On-Demand
• Free Online Course

Stanford Seminar: Concepts and Questions as Programs

My talk will focus on two problems: concept learning and question asking. Compared to the best algorithms, people can learn new concepts from fewer examples, and then use their concepts in richer ways -- for imagination, extrapolation, and explanation, n…

• YouTube
• 1-2 hours worth of material
• On-Demand
• Free Online Course

Stanford Seminar - Neural Networks on Chip Design from the User Perspective

We will briefly review our past effort on Deep learning Processing Unit (DPU) design on FPGA in Tsinghua and Deephi, and then talk about some features, i.e. interrupt and virtualization, we are trying to introduce into the accelerators from the user's pe…

• YouTube
• Less than 1 hour of material
• On-Demand
• Free Online Course

MIT 6.S191: Introduction to Deep Learning 2021

2 reviews

Deep Learning is subset of machine learning focused on extracting patterns from data using neural networks and use those patterns to inform the learning tasks. It is all about teaching computers how to learn a task from raw data. The course will start…

• YouTube
• 29 hours worth of material
• On-Demand
• Free Online Course

Intro to Deep Learning

52 reviews

Get an overview of the hottest field in AI

• Udacity
• 12 weeks long
• 27th Jan, 2016
• Free Online Course

DeepLearning.AI;  Stanford

Convolutional Neural Networks

8 reviews

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from saf…

• Coursera
• 36 hours worth of material, 4 weeks long
• 30th Jan, 2023
• Free Online Course (Audit)

Introduction to Deep Learning

2 reviews

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimizat…

• Coursera
• 60 hours worth of material, 5 weeks long
• 6th Feb, 2023
• Free Online Course (Audit)

Deep Learning for Computer Vision

1 review

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification a…

• YouTube
• 26 hours worth of material
• On-Demand
• Free Online Course

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

18161 ratings at Coursera

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for mach…

• Coursera
• 18 hours worth of material, 4 weeks long
• 6th Feb, 2023
• Free Online Course (Audit)

DeepLearning.AI;  Stanford

Neural Networks and Deep Learning

15 reviews

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will l…

• Coursera
• 25 hours worth of material, 4 weeks long
• 23rd Jan, 2023
• Free Online Course (Audit)

DeepLearning.AI;  Stanford

Advanced Learning Algorithms

1589 ratings at Coursera

In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data…

• Coursera
• 33 hours worth of material, 4 weeks long
• 30th Jan, 2023
• Free Online Course (Audit)

Deep Neural Networks with PyTorch

1287 ratings at Coursera

The course will teach you how to develop deep learning models using Pytorch. The course will start with Pytorch's tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear…

• Coursera
• 31 hours worth of material, 7 weeks long
• 6th Feb, 2023
• Free Online Course (Audit)

Introduction to Deep Learning & Neural Networks with Keras

1213 ratings at Coursera

. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks?

• Coursera
• 8-9 hours worth of material, 5 weeks long
• 6th Feb, 2023
• Free Online Course (Audit)

CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks

There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms…

• Coursera
• 22 hours worth of material, 5 weeks long
• 30th Jan, 2023
• Free Online Course (Audit)

Neural Networks and Random Forests

In this course, we will build on our knowledge of basic models and explore advanced AI techniques. We’ll start with a deep dive into neural networks, building our knowledge from the ground up by examining the structure and properties. Then we’ll code som…

• Coursera
• 10 hours worth of material, 3 weeks long
• 30th Jan, 2023
• Free Online Course (Audit)