AI For Coders
RNNs and LSTMs in TensorFlow & PyTorch
Explore Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks using TensorFlow and PyTorch. Learn their applications in sequence modelling.
RNNs and LSTMs in TensorFlow & PyTorch
Explore Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks using TensorFlow and PyTorch. Learn their applications in sequence modelling.
Applied Reinforcement Learning
Learn how to implement reinforcement learning algorithms for practical applications. Understand the principles of RL and its use in real-world scenarios.
Applied Reinforcement Learning
Learn how to implement reinforcement learning algorithms for practical applications. Understand the principles of RL and its use in real-world scenarios.
Building Neural Networks with Keras
Learn how to build and train neural networks using Keras. Understand the principles of deep learning and how to implement neural network architectures.
Building Neural Networks with Keras
Learn how to build and train neural networks using Keras. Understand the principles of deep learning and how to implement neural network architectures.
CNNs with TensorFlow & PyTorch
Learn to build and train Convolutional Neural Networks (CNNs) using TensorFlow and PyTorch. Understand their applications in image and video processing.
CNNs with TensorFlow & PyTorch
Learn to build and train Convolutional Neural Networks (CNNs) using TensorFlow and PyTorch. Understand their applications in image and video processing.
Deep Learning Essentials with TensorFlow
Explore deep learning techniques using TensorFlow. Learn how to build, train, and deploy deep learning models for various applications.
Deep Learning Essentials with TensorFlow
Explore deep learning techniques using TensorFlow. Learn how to build, train, and deploy deep learning models for various applications.
Advanced Machine Learning Models with Scikit-Learn
Dive deeper into advanced machine learning models using Scikit-Learn. Learn about ensemble methods, hyperparameter tuning, and model optimization techniques.
Advanced Machine Learning Models with Scikit-Learn
Dive deeper into advanced machine learning models using Scikit-Learn. Learn about ensemble methods, hyperparameter tuning, and model optimization techniques.
Data Preprocessing and Visualization Techniques
Learn essential data preprocessing and visualization techniques using Python. Understand how to clean, prepare, and visualize data for AI/ML models.
Data Preprocessing and Visualization Techniques
Learn essential data preprocessing and visualization techniques using Python. Understand how to clean, prepare, and visualize data for AI/ML models.
Introduction to AI & ML
Gain an overview of AI and machine learning concepts. Learn about the history, key principles, and basic algorithms of AI and ML.
Introduction to AI & ML
Gain an overview of AI and machine learning concepts. Learn about the history, key principles, and basic algorithms of AI and ML.
Foundations of ML with Scikit-Learn
Explore the fundamentals of machine learning using Scikit-Learn. Learn how to build, train, and evaluate basic ML models.
Foundations of ML with Scikit-Learn
Explore the fundamentals of machine learning using Scikit-Learn. Learn how to build, train, and evaluate basic ML models.
Mastering Deep Learning with PyTorch
Master deep learning concepts using PyTorch. Learn about advanced neural network architectures, model optimization, and deployment techniques.
Mastering Deep Learning with PyTorch
Master deep learning concepts using PyTorch. Learn about advanced neural network architectures, model optimization, and deployment techniques.
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