Deep Learning With Tensorflow 2.0, Keras and Python

Deep Learning With Tensorflow 2.0, Keras and Python

Embark on a comprehensive 14-hour deep learning journey, mastering TensorFlow 2.0, Keras, and Python from scratch. Explore neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) through hands-on tutorials. Learn essential concepts like activation functions, loss functions, and gradient descent. Dive into practical applications including image classification, object detection, and natural language processing. Discover advanced topics such as transfer learning, YOLO algorithm, LSTM, GRU, and BERT. Gain proficiency in optimizing deep learning models, implementing word embeddings, and utilizing TensorFlow's input pipeline. By the end, you'll be equipped to tackle real-world machine learning challenges and deploy models using TensorFlow Serving.