Deep Learning: Convolutional Neural Networks in Python
Course Name: Deep Learning: Convolutional Neural Networks in Python Use CNNs for Image Recognition, Natural Language Processing (NLP) +More! For Data Science, Machine Learning, and AI What You Will Learn: Understand convolution and why it's useful for Deep Learning Understand and explain the architecture of a convolutional neural network (CNN) Implement a CNN in TensorFlow 2 Apply CNNs to challenging Image Recognition tasks Apply CNNs to Natural Language Processing (NLP) for Text Classification (e.g. Spam Detection, Sentiment Analysis) Requirements Basic math (taking derivatives, matrix arithmetic, probability) is helpful Python, Numpy, Matplotlib Description *** NOW IN TENSORFLOW 2 and PYTHON 3 *** Learn about one of the most powerful Deep Learning architectures yet! The Convolutional Neural Network (CNN) has been used to obtain state-of-the-art results in computer vision tasks such as ob...