Ashis Kumar Panda CaptainAshis

## model_weights.py
# The link below has the weights for the models:-

! wget 'http://files.fast.ai/models/weights.tgz'

# The output is as below #####################################################
# --2018-08-27 09:24:02--  http://files.fast.ai/models/weights.tgz
# Resolving files.fast.ai (files.fast.ai)... 67.205.15.147
# Connecting to files.fast.ai (files.fast.ai)|67.205.15.147|:80... connected.
# HTTP request sent, awaiting response... 200 OK
# Length: 1195411318 (1.1G) [text/plain]

## pivot.py
labels_df.pivot_table(index='breed',aggfunc=len).sort_values('id',ascending=False)

## setupnn.py
learn=ConvLearner.pretrained(arch,data,precompute=True)

## lr_find.py
learn.lr_find()

## learning_rate_sch.py
learn.sched.plot_lr()

## learn_sched.py
learn.sched.plot()

## precompute_fit.py
learn.fit(1e-2,5)

## precompute_false.py
learn.precompute=False
learn.fit(1e-2,3,cycle_len=1)

## dropout.py
learn = ConvLearner.pretrained(arch, data, precompute=True, ps=0.5)
learn.fit(1e-2, 2)

## large.py
learn.set_data(get_data(299, bs))
learn.freeze()

learn.fit(1e-2, 3, cycle_len=1)
	# The link below has the weights for the models:-

	! wget 'http://files.fast.ai/models/weights.tgz'

	# The output is as below #####################################################
	# --2018-08-27 09:24:02-- http://files.fast.ai/models/weights.tgz
	# Resolving files.fast.ai (files.fast.ai)... 67.205.15.147
	# Connecting to files.fast.ai (files.fast.ai)\|67.205.15.147\|:80... connected.
	# HTTP request sent, awaiting response... 200 OK
	# Length: 1195411318 (1.1G) [text/plain]
	learn = ConvLearner.pretrained(arch, data, precompute=True, ps=0.5)
	learn.fit(1e-2, 2)
	learn.set_data(get_data(299, bs))
	learn.freeze()

	learn.fit(1e-2, 3, cycle_len=1)