Course Content
Introduction to Python and Machine Learning
0/5
Python Basics
Introduction to NumPy and Pandas
Matplotlib & Seaborn
Introduction to Machine Learning
Installation of TensorFlow
Introduction to Deep Learning
0/4
Neural Networks Basics
Deep Neural Networks (DNNs)
Loss Functions
Gradient Descent
TensorFlow Basics
0/4
Introduction to TensorFlow
TensorFlow Data Structures
Building a Basic Neural Network
Introduction to Keras
Advanced Deep Learning Architectures
0/4
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Autoencoders
Generative Adversarial Networks (GANs)
Model Training and Optimization
0/4
Overfitting and Underfitting
Batch Normalization
Advanced Optimization Algorithms
Learning Rate Schedules
Deep Learning for Image Recognition
0/4
Image Preprocessing
CNN for Image Classification
Transfer Learning
Object Detection and Localization
Deep Learning for Natural Language Processing (NLP)
0/4
Text Preprocessing
Word Embeddings
RNNs and LSTMs for Text Generation
Transformer Models
Reinforcement Learning (RL)
0/4
Introduction to Reinforcement Learning
Q-learning
Deep Q Networks (DQN)
Policy Gradients and Actor-Critic Methods
Model Deployment and Production
0/5
Model Serialization
Building REST APIs with Flask or FastAPI
Serving Models with TensorFlow Serving
Cloud Deployment
Monitoring and Updating Models
Capstone Project
0/5
Project Scope
Data Collection and Preprocessing
Model Development
Model Evaluation
Deployment
Deep Learning & AI TensorFlow Developer: Full Certification Course
Previous
Next