Deep Learning & Neural Networks

web-development.

Course Modules:

Module 1: Introduction to Deep Learning

What is deep learning and why does it matter?

Neural networks vs. traditional machine learning

Use cases in vision, NLP, and forecasting

Module 2: Anatomy of a Neural Network

Neurons, weights, biases, layers

Activation functions (ReLU, Sigmoid, Tanh)

Feedforward and backpropagation logic

Module 3: Training Neural Networks

Cost functions and optimization

Gradient descent and learning rate tuning

Overfitting, dropout, and regularization

Module 4: Convolutional Neural Networks (CNNs)

Filters, kernels, and convolution layers

Pooling, padding, and architecture stacking

Image classification and object recognition

Module 5: Recurrent Neural Networks (RNNs) and LSTMs

Sequence modeling and time-series prediction

Vanishing gradient problem and LSTM/GRU solutions

Applications in speech and text generation

Module 6: Transfer Learning and Pretrained Models

Fine-tuning and feature extraction

Using models like VGG, ResNet, and MobileNet

Faster training with fewer data

Module 7: Model Evaluation and Tuning

Validation, loss tracking, and early stopping

TensorBoard for model visualization

Hyperparameter search and scaling up

Module 8: Capstone Project

Choose one:

Image classifier with CNN

Time-series predictor with LSTM

Custom architecture using TensorFlow or PyTorch

Submit working model, documentation, and evaluation

Tools & Technologies Used:

TensorFlow and Keras

PyTorch

Jupyter Notebook / Google Colab

Optional: TensorBoard, Hugging Face models

Target Audience:

Intermediate learners in AI and ML

Python developers entering deep learning

Engineers building AI-driven applications

Students preparing for roles in data science and R&D

Global Learning Benefits:

Build state-of-the-art deep learning systems

Gain hands-on experience with leading AI frameworks

Train AI models for vision, text, and time-series data

Advance your career in artificial intelligence and data science

?Master Study NLP Fundamentals: The Foundation of Language Understanding in AI

?Shop our library of over one million titles and learn anytime

?‍? Learn with our expert tutors