Feedforward Neural Networks Courses and Certifications

Data Science Courses

Deep Learning: Feedforward Neural Networks and Backpropagation - Lecture 2

Dive into fundamental concepts of deep learning, exploring perceptrons, feedforward neural networks, and mastering backpropagation techniques for neural network training.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Feedforward Neural Networks and Backpropagation - Part 2

Dive into the second part of feedforward neural networks and backpropagation concepts, continuing the exploration of these fundamental neural network mechanisms.

• YouTube
• 22 minutes
• On-Demand
• Free Video

UofU Data Science

Neural Networks Foundations - Feedforward Neural Networks

Master the fundamentals of feedforward neural networks, exploring their architecture, functionality, and implementation principles for building effective machine learning models.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Introduction to Neural Networks and PyTorch

1897 ratings at Coursera

Learn to build and train deep neural networks using PyTorch, covering tensors, linear regression, logistic regression, CNNs, and transfer learning for practical AI applications.

• Coursera
• 18 hours 4 minutes
• On-Demand
• Paid Course

Introduction to Neural Networks

Master foundational concepts of neural networks, from basic mathematics to advanced architectures like CNNs. Build practical skills in deep learning, optimization techniques, and model training through hands-on experience.

• Coursera
• 18 hours 20 minutes
• On-Demand
• Paid Course

Applied Natural Language Processing in Engineering Part 2

Master advanced NLP techniques including RNNs, transformers, sentiment analysis, and neural machine translation through hands-on implementation with PyTorch and Hugging Face frameworks.

• Coursera
• 1 day 9 hours 37 minutes
• On-Demand
• Paid Course

NPTEL;  IIT Ropar

Deep Learning

In this course, we will learn about the building blocks used in these Deep Learning based solutions. Specifically, we will learn about feedforward neural networks, convolutional neural networks, recurrent neural networks and attention mechanisms.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Video

IIT Ropar;  NPTEL

Deep Learning - IIT Ropar

Explore deep learning architectures, optimization algorithms, and applications in computer vision and NLP. Gain practical knowledge for solving real-world problems using neural networks and advanced techniques.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Jay Alammar

The Narrated Transformer Language Model

Visual introduction to the Transformer architecture, explaining its components and applications in AI/ML. Accessible to various experience levels, covering tokenization, embedding, and output projection.

• YouTube
• 30 minutes
• On-Demand
• Free Video

MITCBMM

Connections Between Physics and Deep Learning

Explore the fascinating intersections of physics and deep learning, from neural networks to scale-invariant behavior, with insights from MIT's Max Tegmark.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Data Science Courses

Deep Learning - STAT 940 - Fall 2023

Master neural networks from feedforward architectures to transformers, GANs, and diffusion models in this comprehensive university-level deep learning program.

• YouTube
• 23 hours 31 minutes
• On-Demand
• Free Video

GOTO Conferences

Composing Bach Chorales Using Deep Learning

Explore how deep learning and LSTM can compose Bach-style chorales, with insights from a musical Turing test revealing AI's potential for musical creativity.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Graham Neubig

CMU Multilingual NLP 2020 - Text Classification and Sequence Labeling

Explore text classification and sequence labeling in multilingual NLP, covering models, datasets, and neural networks for various language processing tasks.

• YouTube
• 46 minutes
• On-Demand
• Free Video

MITCBMM

Feedforward and Feedback Processes in Visual Recognition

Explore visual recognition processes, comparing deep learning models with neuroscience-inspired approaches. Gain insights into complex visual reasoning and potential advancements in AI through computational neuroscience.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Neuro Symbolic

ML Foundations III - Deep Learning

Dive into neural networks, backpropagation, and CNNs to build foundational deep learning skills for AI applications.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video