Deep Learning with Keras and Tensorflow Projects List

Deep Learning with Keras and TensorFlow is a branch of machine learning that uses artificial neural networks with multiple layers to extract meaningful patterns and make predictions from complex data.

• Complex Data Processing: Capable of handling and analyzing complex and large-scale data such as images, text, and time series.
• Automatic Feature Extraction: Neural networks automatically learn and extract relevant features from the data, eliminating the need for manual feature engineering.
• Hierarchical Representations: Deep neural networks learn hierarchical representations of the data, capturing increasingly complex and abstract features at each layer.
• Diverse Applications: Applied in various domains including computer vision, natural language processing, speech recognition, and recommendation systems, among others.