If you guys are getting coupon expired or course is not free after opening the link, then it is due to the fact that course instructors provide only few hundreds or thousands of slots which get exhausted. So, try to enroll in the course as soon as it is posted in the channel. The Coupons may expire any time for instant notification follow telegram channel

New customer offer! Top courses from $13.99 when you first visit Udemy
Udemy APAC

Deep learning is a subfield of machine learning that is 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”, which are simple mathematical functions that process information. The layers in a deep neural network are organized in a hierarchical manner, with lower layers processing basic features and higher layers combining these features to represent more abstract concepts.

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, but the models can achieve state-of-the-art performance on a wide range of tasks, including image classification, natural language processing, speech recognition, and many others.

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


  • Complete Life Cycle of Data Science Project.

  • Important Data Science Libraries like Pandas, Numpy, Matplotlib, Seaborn, sklearn etc…

  • How to choose appropriate Machine Learning or Deep Learning Model for your project

  • Machine Learning Fundamentals

  • Regression and Classification in Machine Learning

  • Artificial Neural Networks (ANN)

  • Convolutional Neural Networks (CNN)

  • Recurrent Neural Networks (RNN)

  • Tensorflow and Keras

  • Different projects like Gold Price Prediction, Stock Price Prediction, Image Classification etc…


Get on Udemy