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Deep Learning MasterClass

Learn about the Complete Life Cycle of a Deep Learning Project

Deep Learning MasterClass – UDEMY 24

Learn about the Complete Life Cycle of a Deep Learning Project. Implement different Neural networks using Tensorflow & Keras.

What you’ll learn?

Deep Learning MasterClass – UDEMY 24

  • You will learn the complete life cycle of a Data Science Project with Machine Learning and Deep Learning.
  • Learn about different Neural Networks like ANN, CNN, and RNN.
  • Learn about pandas, numpy, matplotlib, sklearn, and TensorFlow, some of the most essential python libraries used in Data Science, ML, and DL.
  • You will build practical projects like Gold Price Prediction, Image Class Prediction, and Stock Price Prediction using different Neural


Deep learning is a subfield of machine learning focused on building neural networks with many layers, known as deep neural networks. These networks are typically composed of multiple layers of interconnected “neurons” or “units, ” simply mathematical functions that process information. The layers in a deep neural network are organized hierarchically, with lower layers processing basic features and higher layers combining these features to represent more abstract concepts.

See Also: Machine Learning & Deep Learning Projects for Beginners 2023

Deep learning models are trained using large amounts of data and powerful computational resources, such as graphics processing units (GPUs). Training deep learning models can be computationally intensive. Still, the models can perform state-of-the-art tasks, including image classification, natural language processing, speech recognition, and many others.

Different types of deep learning models exist, such as feedforward neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and many more. Each model type is suited for a different kind of problem, and the choice of model will depend on the specific task and the available data type.


Who this course is for?

  • Anyone who wants to get started with Deep Learning.
  • Data Science and ML folks who want to learn about Neural Networks and Deep Learning.

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