Deep Networks Courses and Certifications

Deep Learning Frameworks and Neural Networks Simplified

Master advanced deep learning skills with TensorFlow, Keras, and neural networks. Build cutting-edge AI models, implement RNNs and LSTMs, and develop practical solutions for real-world challenges.

• Coursera
• 5 hours 22 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning: Convolutional Neural Networks with TensorFlow

Unlock the potential of deep learning by mastering Convolutional Neural Networks and Transfer Learning with hands-on TensorFlow and Keras experience for image and text classification.

• Coursera
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning - Recurrent Neural Networks with TensorFlow

Master recurrent neural networks for time series prediction and NLP tasks using TensorFlow. Implement advanced architectures like GRUs and LSTMs for stock forecasting, image classification, and text analysis.

• Coursera
• 5 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning with R: Build & Predict Neural Networks

Master neural network development in R through hands-on data preparation, visualization, regression modeling, and deep learning implementation with practical predictive applications.

• Coursera
• 9 hours 48 minutes
• Self-Paced
• Paid Course

Board Infinity

Deep Learning: Train Neural Networks and Deploy with Docker

Master the full deep learning pipeline—design and train neural networks with PyTorch and TensorFlow, track experiments, serve models via FastAPI, and deploy scalable apps using Docker.

• Coursera
• 15 hours
• Self-Paced
• Paid Course

EDUCBA

Deep Learning: Build & Optimize Neural Networks

Master neural networks from foundations to advanced applications including computer vision, NLP with transformers, and recommender systems using PyTorch and real-world projects.

• Coursera
• 17 hours 3 minutes
• Self-Paced
• Paid Course

Tensorflow and Keras For Neural Networks and Deep Learning

540 ratings at Udemy

Master the Most Important Deep Learning Frameworks (Tensorflow & Keras) for Python Data Science

• Udemy
• 8 hours 2 minutes
• Self-Paced
• Paid Course

3Blue1Brown

Neural Networks and Deep Learning Fundamentals

Discover neural networks fundamentals and backpropagation through visual explanations, plus explore transformers and LLMs that power modern AI applications.

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

PyTorch Tutorial - Neural Networks & Deep Learning in Python

297 ratings at Udemy

Pytorch - Introduction to deep learning neural networks : Neural network applications tutorial : AI neural network model

• Udemy
• 6 hours 36 minutes
• Self-Paced
• Paid Course

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Learn to build and train neural networks using Keras and TensorFlow. Master data processing, CNN creation, fine-tuning, and transfer learning for practical deep learning applications.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

How Deep Neural Networks Work - Full Course for Beginners

Comprehensive introduction to neural networks, covering their functionality, learning processes, and various types like CNNs and RNNs. Demystifies deep learning and explores its applications in robotics and AI.

• freeCodeCamp
• 3-4 hours
• Self-Paced
• Free Video

Learn TensorFlow.js - Deep Learning and Neural Networks with JavaScript

Explore client-side neural networks using TensorFlow.js. Build and deploy a web app for image classification, covering model conversion, tensor operations, and running MobileNet in the browser.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

An Overview of Deep Neural Networks Applications: Wolfram U Class

Explore deep neural network applications through examples, including image classification and speech recognition. Learn about building the ImageIdentify function using Wolfram's neural network framework.

• Wolfram U
• 23 minutes
• Self-Paced
• Free Online Course

Stanford Seminar - Persistent and Unforgeable Watermarks for Deep Neural Networks

Explore persistent and unforgeable watermarking techniques for deep neural networks, focusing on IP protection, embedding methods, and resistance to attacks.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Online Course

Jacob Andreas - Natural Language Explanations of Deep Networks

Explore strategies for generating natural language explanations of deep networks, covering medical diagnosis, multiagent communication, and neuron descriptions in AI systems.

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