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Learn Keras, earn certificates with free online courses from Purdue University, IIM Bangalore, IIT Roorkee, Tsinghua University and other top universities around the world. Read reviews to decide if a class is right for you.
Unlock the potential of deep learning by mastering Convolutional Neural Networks and Transfer Learning with hands-on TensorFlow and Keras experience for image and text classification.
Master AI engineering fundamentals through hands-on projects in machine learning, deep learning, neural networks, and generative AI using Python, TensorFlow, PyTorch, and LangChain while building job-ready skills.
Explore deep learning and artificial neural networks using TensorFlow. Learn foundational concepts, implement ANN models, and optimize deep learning models through hands-on examples and practical applications.
Develop advanced chatbots using deep learning and Python. Learn architecture, implementation, and real-world applications in healthcare, business, and e-commerce. Build and deploy intelligent conversational AI systems.
Master deep learning fundamentals and practical implementation using PyTorch, Keras, and TensorFlow through hands-on projects in neural networks, computer vision, and natural language processing.
Use TensorFlow and Keras to build and train neural networks for structured data.
Learn how deep learning algorithms can be used to solve important engineering problems.
Master deep learning fundamentals using Python, TensorFlow, and Keras. Explore CNNs, RNNs, data loading, model analysis, optimization, and practical applications in cryptocurrency prediction.
Explore generative AI and large language models, covering fundamental concepts, applications, and deep learning techniques. Gain insights into transformers, prompt engineering, and ethical considerations.
Explore deep learning fundamentals, computer vision, TensorFlow, Keras, transfer learning, and advanced topics like TPUs in this comprehensive introduction to neural networks.
Explore LSTM and GRU layers for recurrent neural networks in Keras, laying the groundwork for NLP and time series prediction with practical examples and implementations.
Build convolutional neural networks with TensorFlow and Keras.
Learn how to use AI to solve common HR challenges, such as recommending training and screening candidates, and to improve employee hiring, satisfaction, and retention.
Learn the fundamental techniques and principles behind artificial neural networks.
Learn how to design, build, and deploy a deep neural network to serve as an image recognition system.
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