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Deep Learning and AI Superhero
12 chapters and 63 canonical sections synced from the Cuantum content database.
Author
Cuantum Tech.
Chapters
12
Reading time
~ 13h
Level
Professional
Language
English
Edition
2025
Your progress0%
Chapters & sections
12 chapters - 63 sectionsChapter 01
Chapter 1: Introduction to Neural Networks and Deep Learning
0/6Chapter 02
Chapter 2: Deep Learning with TensorFlow 2.x
0/6Chapter 03
Chapter 3: Deep Learning with Keras
0/6Chapter 04
Quiz Part 1: Neural Networks and Deep Learning Basics
0/4Chapter 05
Chapter 4: Deep Learning with PyTorch
0/714.1 Introduction to PyTorch and its Dynamic Computation Graph12m24.2 Building and Training Neural Networks with PyTorch12m34.3 Transfer Learning and Fine-Tuning Pretrained PyTorch Models12m44.4 Saving and Loading Models in PyTorch12m54.5 Deploying PyTorch Models with TorchServe12m6Chapter 4 Summary12m7Practical Exercises Chapter 412m
Chapter 06
Chapter 5: Convolutional Neural Networks (CNNs)
0/615.1 Introduction to CNNs and Image Processing12m25.2 Implementing CNNs with TensorFlow, Keras, and PyTorch12m35.3 Advanced CNN Techniques (ResNet, Inception, DenseNet)12m45.4 Practical Applications of CNNs (Image Classification, Object Detection)12m6Chapter 5 Summary12m5Practical Exercises Chapter 512m
Chapter 07
Chapter 6: Recurrent Neural Networks (RNNs) and LSTMs
0/6Chapter 08
Quiz Part 2: Advanced Deep Learning Frameworks
0/4Chapter 09
Chapter 7: Advanced Deep Learning Concepts
0/6Chapter 10
Chapter 8: Machine Learning in the Cloud and Edge Computing
0/5Chapter 11
Chapter 9: Practical Projects
0/5Chapter 12