AI & Machine Learning · Level 3

Deep Learning & Neural Networks

By SRTR Academy Faculty

4 modules · 18 lessons · 10 videos · 20 hrs

CNNs, RNNs, transformers, TensorFlow/PyTorch, image classification, NLP fundamentals, transfer learning

What you will learn

Module 1: Neural Network Fundamentals
- 🎬 Biological inspiration and perceptrons — free preview
- 📄 Activation functions and forward propagation
- 🎬 Backpropagation and gradient descent
- 📄 Building your first neural network in PyTorch
Module 2: Convolutional Neural Networks (CNNs)
- 🎬 Convolution operations and filters — free preview
- 📄 Pooling layers and feature maps
- 🎬 CNN architectures: LeNet, VGG, ResNet
- 📄 Hands-on: image classification with CIFAR-10
- 🎬 Transfer learning with pre-trained models
Module 3: Recurrent Neural Networks & Sequences
- 🎬 RNNs and the vanishing gradient problem — free preview
- 📄 LSTM and GRU architectures
- 🎬 Sequence-to-sequence models
- 📄 Hands-on: sentiment analysis on movie reviews
Module 4: Transformers & Modern Architectures
- 🎬 Attention mechanism explained — free preview
- 📄 The Transformer architecture
- 🎬 BERT, GPT, and their applications
- 📄 Fine-tuning a pre-trained transformer
- 🎬 Deploying deep learning models