Deep Learning Courses and Certifications

Kaggle

Deep Learning

1 review

Explore deep learning fundamentals, computer vision, TensorFlow, Keras, transfer learning, and advanced topics like TPUs in this comprehensive introduction to neural networks.

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

NPTEL;  IIT Kharagpur

Deep Learning for Visual Computing

1 review

Comprehensive exploration of deep learning techniques for visual computing, covering neural networks, autoencoders, and CNNs with hands-on implementations using Python and popular datasets.

• YouTube
• 11 hours
• On-Demand
• Free Video

Creative Applications of Deep Learning with TensorFlow

45 reviews

Explore deep learning with TensorFlow, from basic components to advanced algorithms. Learn to build neural networks for object recognition, content generation, and creative applications in AI.

• Kadenze
• 60 hours
• On-Demand
• Free Online Course

NPTEL;  IIT Kharagpur

Deep Learning

Comprehensive exploration of deep learning concepts, from feature descriptors to advanced neural networks, covering theory and practical applications in computer vision and generative models.

• YouTube
• 1 day 7 hours
• On-Demand
• Free Video

sentdex

Deep Learning with Neural Networks and TensorFlow Introduction

Introduction to deep learning with neural networks, covering theory, models, optimization, and TensorFlow. Explore biologically-inspired machine learning techniques and their evolution in the field of artificial intelligence.

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

Serrano.Academy

A Friendly Introduction to Deep Learning and Neural Networks

Explore neural networks and deep learning concepts, from gradient descent to activation functions, in this friendly introduction to AI fundamentals.

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

Alexander Amini;  MIT

MIT Introduction to Deep Learning

Comprehensive introduction to deep learning fundamentals, covering perceptrons, neural networks, loss functions, gradient descent, backpropagation, and regularization techniques for building effective models.

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

Alexander Amini;  MIT

Introduction to Deep Learning

Comprehensive introduction to deep learning fundamentals, covering perceptrons, neural networks, loss functions, gradient descent, backpropagation, and regularization techniques for building effective models.

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

Alexander Amini;  MIT

Deep Learning New Frontiers

Explore deep learning limitations and new frontiers, including expressivity, generalization, adversarial attacks, uncertainty, and AutoML. Gain insights into cutting-edge developments in neural networks.

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

Alexander Amini;  MIT

MIT: Introduction to Deep Learning

Foundations of deep learning: perceptrons, neural networks, loss functions, backpropagation, optimization techniques, and strategies to prevent overfitting in neural network training.

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

Alexander Amini;  MIT

Introduction to Deep Learning - MIT 2018

Explore foundations of deep learning, including perceptrons, neural networks, loss functions, and optimization techniques. Gain insights into training challenges and strategies for effective model development.

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

Alfredo Canziani

History, Motivation, and Evolution of Deep Learning

Explore the history, motivation, and evolution of deep learning, covering key concepts like gradient descent, backpropagation, CNNs, and feature extraction in neural networks.

• YouTube
• 1 hour 39 minutes
• On-Demand
• Free Video

Data Science Courses

Deep Learning - Fall 2017

Master neural networks, CNNs, GANs, and Sum Product Networks through comprehensive deep learning fundamentals with regularization techniques and advanced architectures.

• YouTube
• 12 hours 32 minutes
• On-Demand
• Free Video

Data Science Courses

Deep Learning - Fall 2015

Master deep learning fundamentals through neural networks, CNNs, RNNs, Word2vec, and practical implementation with Theano and Keras frameworks.

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

Code With Aarohi

Convolutional Neural Network Tutorial - Deep Learning and CNN Architectures

Master CNN fundamentals, architectures like AlexNet, VGG-16, ResNet, and Inception networks through practical examples and step-by-step implementations for image classification tasks.

• YouTube
• 7 hours 10 minutes
• On-Demand
• Free Video