Learn Python for Deep Learning, Neural Networks, Transfer Learning and Pre-trained Models, Generative Deep Learning, NLP
Sub Category
- Other IT & Software
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Objectives
- You will begin your deep learning journey with an Introduction to Artificial Intelligence and Deep Learning
- You will develop practical skills in Python for Deep Learning, working with essential libraries such as NumPy, Pandas, and Matplotlib for data handling
- You will gain a solid understanding of the Fundamentals of Neural Networks, comparing biological and artificial neurons and exploring perceptrons
- You will advance into Deep Neural Networks (DNNs), where network architectures, optimization techniques, gradient descent, and weight initialization
- You will explore Convolutional Neural Networks (CNNs), focusing on convolution operations, pooling layers, and well-known architectures
- You will study Recurrent Neural Networks (RNNs), LSTMs, and GRUs, learning sequence modeling fundamentals and understanding issues
- You will learn Transfer Learning and Pre-trained Models, exploring feature extraction and fine-tuning strategies
- You will explore Generative Deep Learning, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
- You will work with Natural Language Processing (NLP) using Deep Learning, covering word embeddings such as Word2Vec and GloVe
- You will gain hands-on experience with Deep Learning Frameworks and Tools, focusing on TensorFlow and PyTorch for model development
- You will master Model Evaluation, Hyperparameter Tuning, and Deployment, learning to use confusion matrices, ROC-AUC metrics
- By the end of the course, you will apply everything learned through a Capstone Project and Case Studies, where complete end-to-end deep learning
Pre Requisites
- An interest in artificial intelligence, machine learning, and deep learning concepts
- Basic familiarity with Python programming and mathematical concepts such as linear algebra and probability is beneficial
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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