2025 Deep Learning for Beginners with Python

Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More

Created by: Laxmi Kant | KGP Talkie
AVP, Data Science Join Ventures | IIT Kharagpur | KGPTalkie

What Will I Learn?

• The basics of Python programming language
• Foundational concepts of deep learning and neural networks
• How to build a neural network from scratch using Python
• Advanced techniques in deep learning using TensorFlow 2.0
• Convolutional neural networks (CNNs) for image classification and object detection
• Recurrent neural networks (RNNs) for sequential data such as time series and natural language processing
• Generative adversarial networks (GANs) for generating new data samples
• Transfer learning in deep learning
• Reinforcement learning and its applications in AI
• Deployment options for deep learning models
• Applications of deep learning in AI, such as computer vision, natural language processing, and speech recognition
• The current and future trends in deep learning and AI, as well as ethical and societal implications.

Requirements

• Basic understanding of programming concepts and mathematics
• A laptop or a computer with an internet connection
• A willingness to learn and explore the exciting field of deep learning and artificial intelligence

Target audience

• Data scientists, analysts, and engineers who want to expand their knowledge and skills in machine learning.
• Developers and programmers who want to learn how to build and deploy machine learning models in a production environment.
• Researchers and academics who want to understand the latest developments and applications of machine learning.
• Business professionals and managers who want to learn how to apply machine learning to solve real-world problems in their organizations.
• Students and recent graduates who want to gain a solid foundation in machine learning and pursue a career in data science or artificial intelligence.
• Anyone who is curious about machine learning and wants to learn more about its applications and how it is used in the industry.