In this course, you will be introduced to all the tools and concepts you will need for your data science journey. In the final capstone project, you will demonstrate the skills you have learned from working with real-world data to create a data product. For prerequisites, you should have s...
g = get_loss_grad([x_vec.reshape(*batch_shape)]) return l.astype(np.float64), g.flatten().astype(np.float64) *#Function to minimize loss and iteratively generate the image* def min_loss(fn,epochs,batch_shape): t0 = datetime.now() losses = [] ...