Deep Learning Courses and Certifications

Data Science Courses

Graph Neural Networks and Convolutional Networks - Part 1 - Lecture 18

Dive into Graph Convolutional Networks, exploring convolution operations on graphs, ChebNet architecture, and practical applications of spectral-based graph neural networks.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Data Science Courses

Generative Adversarial Networks and Adversarial Autoencoders - Lecture 16

Dive into advanced concepts of GANs and AAEs, exploring conditional implementations, mode collapse solutions, and practical applications in supervised and unsupervised learning scenarios.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Data Science Courses

Recurrent Neural Networks and Backpropagation Through Time - Lecture 8

Dive into recurrent neural networks, exploring LSTM, GRU architectures, and advanced concepts like backpropagation through time and gradient challenges in deep learning implementations.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Dave Churchill

Intro to Artificial Intelligence - Deep Neural Networks - Lecture 20

A lecture on deep neural networks in an introductory artificial intelligence course.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Neural Breakdown with AVB

Understanding and Visualizing How Convolutional Neural Networks Learn

Dive into the inner workings of Convolutional Neural Networks through detailed visualizations and animations, understanding their mechanisms, learning process, and success in computer vision applications.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Neural Breakdown with AVB

Understanding How Large Language Models Generate Images - From Autoencoders to Multimodal LLMs

Delve into the mechanics of image generation by multimodal LLMs, exploring autoencoders, latent spaces, VQ-VAEs, and codebook embeddings in modern AI models like Gemini and DALL-E.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Neural Breakdown with AVB

Understanding Self-Attention in Transformer Models - Part 2

Dive into the mechanics and power of Self-Attention in Transformer models, exploring its functionality, implementation, and significance in modern deep learning architectures.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Hyderabad

Deep Learning for Computer Vision

1 rating

The automatic analysis and understanding of images and videos, a field called Computer Vision, occupies significant importance in applications including security, healthcare, entertainment, mobility, etc.

• YouTube
• 1 day 16 hours
• Self-Paced
• Free Video

Career Certificate

DeepLearning.AI TensorFlow Developer

25405 ratings at Coursera

Build and train deep learning models in TensorFlow, from convolutional networks for image classification to natural language processing and sequence and time series prediction.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

The Full Stack

Full Stack Deep Learning - 2022

A full-stack view of building ML-powered products, spanning the engineering and operational work that takes models from experiments into deployed, monitored systems.

• YouTube
• 11 hours 33 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Modern Computer Vision - Advanced Deep Learning Techniques for Image Processing

Trace the shift from hand-engineered image features and geometric reconstruction to deep networks for detection, segmentation, and vision-language tasks.

• YouTube
• 1 day 7 hours 34 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Facial Recognition App - Deep Learning Project - Paper2Code Series

Build a facial recognition system from data collection through Siamese-network training to real-time predictions in a Kivy app.

• YouTube
• 5 hours 50 minutes
• Self-Paced
• Free Video

Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 2/2

Builds nonlinear and multiclass neural network classifiers in TensorFlow, tuning learning rates and visualizing performance with loss curves and confusion matrices.

• YouTube
• 3 hours 58 minutes
• Self-Paced
• Free Video

Python Engineer

Deep Learning With PyTorch - Full Course

Learn PyTorch from tensor basics and automatic differentiation through training neural networks, CNNs, transfer learning, TensorBoard, and model saving.

• YouTube
• 4 hours 36 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Sign Language Detection Using Action Recognition with Python - LSTM Deep Learning Model

Builds a real-time sign language recognizer from MediaPipe keypoint sequences and an LSTM model in Python.

• YouTube
• 2 hours 27 minutes
• Self-Paced
• Free Video